Database Administrator

Build resilient databases. Power critical platforms. Shape the future of data.

Our client is a tech-driven organisation operating at the heart of the UK digital ecosystem, supporting thousands of businesses through a complex, high-availability platform. Behind the scenes, robust data infrastructure is critical - and that’s where you come in.

We’re looking for an experienced Database Administrator who enjoys keeping systems stable, performant, and future-proof, while continuously improving how data environments are designed and supported.

If you thrive in a role that mixes hands-on technical ownership with collaboration, problem-solving, and continuous improvement, this could be a great fit.

What you’ll be doing

• Install, configure, and maintain SQL Server (and some MySQL) environments
• Monitor performance, availability, and capacity
• Troubleshoot and resolve complex database incidents
• Remediate Legacy SQL environments
• Maintain backup and recovery strategies
• Provide 2nd and 3rd line support
• Collaborate with development teams
• Document processes and standards
• Participate in infrequent paid out-of-hours support

What we’re looking for

• Experience in a Database Administrator role
• Strong SQL Server experience and ideally some MySQL
• Linux and Shell Scripting experience
• Experience with high-availability technologies (AGs, replication, ProxySQL)
• Strong SQL writing and optimisation skills

What’s in it for you

• Flexible working options
• Ongoing career development
• No dress code
• 26 days annual leave plus bank holidays
• Pension scheme
• Inclusive and diverse working environment

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Data Manager - GCP

We are looking for an experienced Data Manager to lead a high-performing Data Engineering team building scalable data and reporting platforms used by global stakeholders.

In this role, you will guide the development of high-throughput, database-centric applications that process and deliver critical operational data at scale. Working within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems.

You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms that support a global client base.

This role is eligible for hybrid working in the North West or Midlands

About the Team

The Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency.

Our platform includes:

• Google Cloud Platform (GCP) architecture
• BigQuery data warehousing
• High-throughput distributed applications
• Batch data processing pipelines
• Integration with REST and SOAP APIs
• Windows and web services
• Web-based applications and reporting platforms

As Lead Engineer, you will drive technical delivery while helping evolve the team s cloud and data capabilities.

What You ll Be Doing

• Leading and mentoring a geographically distributed Data Engineering team
• Driving the development of cloud-based data and reporting solutions on GCP
• Owning the delivery of scalable data platforms that support global operations
• Supporting the adoption of AI tools and automation to enhance engineering workflows
• Collaborating with stakeholders across multiple departments to prioritise and deliver projects
• Managing technical risks, issues, and cross-team dependencies
• Improving engineering practices, processes, and delivery efficiency
• Ensuring high standards of system performance, scalability, and reliability

Skills and Experience

• Strong experience with Google Cloud Platform (GCP) and BigQuery
• Deep understanding of cloud architecture and distributed data systems
• Commercial database development experience using SQL Server, T-SQL, BigQuery or GoogleSQL
• Experience implementing data platforms, reporting systems, or large-scale data pipelines
• Experience working with AI tools to improve development workflows
• Experience designing and implementing cloud-native solutions
• Experience working with large-scale global data platforms is advantageous

Sheffield or Birmingham Hybrid (3-days onsite)

We’re partnering with a leading financial services client who are looking for a Data Risk & Controls Manager to join their global team responsible for strengthening data risk governance and control frameworks across the organisation. This is an initial 8-month contract inside IR35.

The Role

This position plays a key role in ensuring that global data control frameworks align with UK regulatory requirements, acting as the UK representative within an international team. You will support risk and control owners, challenge existing risk assessments, and drive continuous improvement across the organisation’s data control environment.

Key Responsibilities

• Act as the UK representative within a global data risk and controls team
• Support risk and control owners in strengthening control frameworks
• Develop and drive action plans to address control gaps
• Assess the effectiveness and sustainability of data controls
• Challenge whether risks have been appropriately identified and mitigated
• Influence improvements and next steps across the control environment
• Confidently engage with senior stakeholders and leadership
• Provide constructive challenge within governance and risk discussions

Focus Areas:

• Data privacy
• Data storage and retention
• Data usage and governance
• Metadata management
• Data movement between applications

Requirements:

• 5+ years of experience within financial services and in operational risk, non-financial risk, or data risk.
• Hands-on experience with data control frameworks (1st, 2nd or 3rd Line of Defence)
• Strong knowledge of data privacy and regulatory requirements (UK experience beneficial)
• Experience working across Data, IT, Risk, or Audit functions
• Proven ability to influence, challenge and engage stakeholders
• Experience identifying control gaps and driving process improvements
• Ability to present complex issues clearly to senior non-technical stakeholders
• Experience working within financial services or another highly regulated industry preferred
• Exposure to automation initiatives is advantageous
• Experience engaging with regulatory bodies is beneficial
• Relevant industry certifications are a plus

More details available on successful application.

Data Engineer (Microsoft Fabric) Manchester / Birmingham / Nottingham (Hybrid - 2 days onsite) £50,000 Permanent - Full-time About the Opportunity SF Partners are partnering with a leading UK law firm to hire a Data Engineer with Microsoft Fabric experience to support a major data transformation programme. The business is moving away from SAP BW and building a modern data platform on Microsoft Fabric, and this role will be central to that journey. This is an opportunity to work hands-on with Fabric in a real enterprise environment - helping shape the platform, pipelines, and reporting layer from the ground up. The Role You'll play a key role in designing and delivering data solutions within Microsoft Fabric, working closely with both technical teams and business stakeholders. This role is ideal for someone who already has exposure to Fabric (or strong Azure experience with hands-on Fabric work) and wants to deepen their expertise in a growing, high-impact environment. Key Responsibilities Design and build data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse) Support the migration from SAP BW into a Fabric-based architecture Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory Build and maintain scalable data models to support reporting and analytics Contribute to the development of a gold-standard reporting layer (Power BI semantic models) Work with stakeholders across Finance, HR, and Commercial teams Ensure strong data governance, security, and compliance (GDPR) Document processes and support best practice across the data team What We're Looking For Experience working with Microsoft Fabric (essential) Strong SQL skills and experience working with large datasets Experience building data pipelines and working with lakehouse architectures Knowledge of tools such as Azure Data Factory and/or Fabric Data Pipelines Experience with Python or PySpark for data transformation Understanding of data modelling (dimensional modelling, medallion architecture) Strong communication skills and ability to work with non-technical stakeholders Desirable: Experience migrating from legacy systems (e.g. SAP BW) Exposure to SAP data (HANA, BW, SuccessFactors, etc.) Experience with Power BI and semantic models Why Apply? Work on a high-profile Microsoft Fabric implementation Play a key role in a large-scale data migration project Gain deeper expertise in one of the fastest-growing data platforms Join a collaborative and forward-thinking data team Hybrid working and strong benefits package Apply Now If you're a Data Engineer with Microsoft Fabric experience looking to take ownership of a major transformation project, we'd love to hear from you. Apply now or get in touch with SF Partners for more information

We are seeking a highly skilled and motivated Business Intelligence Manager to lead the data and analytics function. This is a fantastic opportunity for a technically strong BI professional who is equally passionate about leadership, innovation, and driving data-driven decision-making across a global organisation.

Key Responsibilities

• Lead, manage, and develop a high-performing, multi-national BI team, fostering a culture of collaboration, accountability, and continuous improvement
• Design and deliver scalable, high-quality business intelligence solutions using Power BI
• Oversee data modelling, transformation, and integration processes using SQL and modern data platforms
• Champion best practices in BI development, data governance, and reporting standards
• Collaborate with senior stakeholders to translate business requirements into actionable insights
• Drive the adoption and effective use of Microsoft Fabric and emerging data technologies
• Explore and integrate AI-driven capabilities to enhance analytics and reporting where appropriate
• Ensure the team delivers accurate, timely, and impactful insights to support strategic decision-making

Key Skills & Experience

• Proven experience in a Business Intelligence leadership or management role
• Strong technical expertise in Power BI, including dashboard design, DAX, and data modelling
• Advanced SQL skills with experience in handling complex datasets
• Knowledge of Microsoft Fabric or similar modern data platforms
• Exposure to AI/advanced analytics tools or techniques is highly desirable
• Demonstrated success managing, mentoring, and developing diverse, multi-national teams
• Excellent stakeholder management and communication skills
• Strong problem-solving mindset with the ability to balance technical and business priorities

What We Offer

• Opportunity to lead a global BI function in a forward-thinking organisation
• A collaborative and inclusive work environment
• Competitive salary and benefits package
• Ongoing professional development and career progression opportunities

If you are a technically strong BI leader who thrives on building teams and delivering impactful data solutions, we d love to hear from you.

Are you a SQL Data Integration Developer, keen to Join a team where data drives impact and precision matters? We re looking for a talented SQL Developer / SQL Data Integration Developer to design and deliver robust, high-quality data interfaces that power critical systems and services. In this role, you ll take ownership of building and maintaining integrations between internal platforms and third-party services, ensuring data flows are accurate, secure, and reliable. You ll develop and optimise T-SQL stored procedures, views, and queries, while creating detailed technical specifications covering data mapping, transformation logic, file formats, and transfer processes. Working closely with consultants and stakeholders, you ll translate business requirements into scalable, well-engineered solutions. Role: SQL Developer, Data Integration Developer, SQL Integration Developer, ETL Developer, Database Integration Developer, Database Developer, Integration Developer Salary: £50k - £55k base per annum + Bonus and Benefits. Benefits: 5% pension, 25 days holiday, two wellbeing days, Christmas shutdown, private healthcare, life assurance, cinema tickets & more Location: Milton Keynes (Hybrid 2 days a week in the office) We re looking for someone with strong SQL Server and T-SQL expertise, proven experience building structured data integrations, and a sharp eye for detail when defining technical specifications. You ll be confident working with formats such as CSV, XML, and JSON, and familiar with secure transfer methods like SFTP. If you bring experience in education or finance systems, automation tools, or API integrations, even better. Sound like something you re keen to be part of? CLICK APPLY and send through a copy of your CV.

Our client, a well-established business based on the outskirts of Peterborough, is looking to recruit a Data Analyst/Manager to join their team on a permanent basis.

PETERBOROUGH CAMBS, OFFICE BASED

£35000 - £40000

Monday to Friday 09.00am to 17.00pm

About the company

My client is an innovative and forward-thinking brand where creativity and impact go hand in hand. They are passionate about breaking the mould—whether through the content they create, how they engage and inspire audiences, or the way they deliver their work. At their core is a strong commitment to investing in people and projects that drive meaningful, measurable outcomes. They partner with a diverse portfolio of clients, all united by a shared ambition to create positive change and sustainable growth.

Key responsibilities for the Data Analyst/Manager role:

As a Data Analyst/Manager, this is a senior, hands-on role where you will oversee data systems, reporting, and insights that directly influence company performance across our partner organisations.

You will play a key role in shaping how data is captured, analysed, and used—both internally and for clients—ensuring our platforms deliver actionable insights and measurable impact.

Data Strategy & Ownership

• Lead the development of the data strategy across products and platforms
• Act as the senior data lead, supporting leadership with insight-driven decision making
• Identify opportunities to improve player acquisition, retention, and lifetime value through data

Data Management & Governance

• Own data architecture across CRM systems, internal platforms, and reporting tools
• Ensure high standards of data quality, integrity, and compliance (including GDPR)
• Develop scalable processes for data collection, validation, and storage

Analytics & Performance Insights

• Deliver analysis on campaign performance, player behaviour, and outcomes
• Build dashboards and reports for internal teams and external partners
• Translate complex datasets into clear recommendations that drive revenue growth

Client & Stakeholder Reporting

• Support client-facing reporting, demonstrating ROI and impact of solutions
• Work closely with account management and marketing teams to optimise campaigns
• Provide insight into trends such as acquisition cost, attrition, and engagement

Tools & Systems

• Manage and optimise CRM and database systems (e.g., supporter databases, platforms)
• Lead on implementation of BI tools
• Collaborate with product and tech teams to enhance data functionality across platforms

Leadership & Capability Building

• Act as the go-to expert for data across the business
• Support and mentor junior analysts as the team grows
• Promote a data-driven culture across all departments

Skills and experience

We are looking for a Data Analyst/Manager who has the following:

• Proven experience in a senior data role (Data Manager, Senior Analyst, or similar)
• Strong understanding of data in a commercial or environment
• Advanced skills in SQL, Excel, and data visualisation tools
• Experience working with CRM systems and customer / supporter data
• Knowledge of GDPR and data governance best practices
• Ability to translate data into commercial and strategic insights

Sounds like a bit of you. If you are interested in this Data Analyst/Manager position, please apply today.

Coulter Elite Resourcing is an independent recruitment consultancy acting on behalf of our client. Our areas of recruitment include Commercial, FMCG, Engineering, Technical, and IT. We aim to respond to every application we receive. However, due to the volume of applications, this isn’t always possible. If you have not heard from us within 5 working days, please accept our apologies that your application has been unsuccessful on this occasion.

Department:  Academic/Pearson

Location:  Manchester (On-Site)

Salary: £51,000

Type of Contract:  Full-Time, Permanent (40 hours per week)

The role : We are currently seeking Lecturers to teach across a range of undergraduate levels as part of our HND Construction Management  programme.  Due to our delivery model, we require flexibility to teach during weekdays, evenings and at weekends.

Please note this role is not eligible for visa sponsorship.

What you’ll be doing:  As a Lecturer in Construction Management at Global Banking School, you will deliver modules related to the principles and practices of construction management, including the legal, environmental and technological context of today’s construction industry. You will develop and deliver comprehensive course materials, undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices.

Responsibilities include:

• All aspects of planning, delivering, and assessing student work, ensuring that all learning outcomes are met
• Developing, updating, and improving course materials as appropriate
• Using a variety of learning and teaching methods/materials
• Actively engaging in staff development activities, peer observations, meetings and other administrative duties
• Understanding and keeping up to date with latest developments in your field and student support practices
• Working towards a range of clearly defined objectives for student attendance, continuation, completion, satisfaction and student progression

About you:

• You will hold a Master’s degree in a relevant subject area (PhD desirable)
• You will have previous UK HE teaching experience in the wider subject area
• You will be able to demonstrate extensive knowledge of relevant subject matter
• You will have experience supervising student work and providing support and feedback
• You will have experience of accurate reporting and ability to maintain thorough and organised student records
• You will be able to work under pressure, plan and prioritise own workload to meet tight deadlines
• You will have excellent communication, interpersonal and team-working skills
• You will be able to work with diverse groups of people

Desirable:

• You will hold a Postgraduate Certificate of Academic Practice or equivalent teaching qualification (or commitment to enrol on a teaching programme during the probationary period and complete within three years) or Fellowship of HEA (or international equivalent)
• You will have experience of design / development of academic or professional education programmes or equivalent

What we offer:

• 25 days annual leave, plus 8 public holiday
• 1-day extra leave per year of service, up to a maximum of 5 days
• Workplace pension scheme
• Tuition reimbursement for career development courses
• Flexible Benefits: Cycle to Work, Workplace Nursery, Tech scheme and much more
• discounts platform, wellbeing centre and much more
• Reward and recognition programme
• £500 award employee referral scheme
• Discretionary annual performance bonus

“GBS has greatly supported my professional development by offering me a chance to teach diverse, non-traditional students and by sponsoring my FHEA application, which has been invaluable in consolidating my teaching practices.”

— John Traichaisit, Consultant Lecturer

GBS is committed to equality, diversity and inclusion and providing a workplace free from discrimination or harassment. We welcome applications from all backgrounds and communities. We take our core values seriously and work hard to create an environment where everyone feels welcomed.

Industry: Not-for-profit (Family Services)

Location: Bristol/ South Gloucestershire (Free parking available)

Salary: £45,000 - £48,000 + benefits

Permanent role: hybrid working (3 days on site)

Data Engineer - Role Purpose

We are embarking on a significant transformation of our data and analytics capabilities and are seeking a skilled Data Engineer to help build and shape our modern Data & AI Platform.

Working alongside the Head of Data & Analytics, you will design, develop and maintain secure, high-quality data pipelines that enable trusted reporting, analytics, and future AI/ML development. This is a rare opportunity to influence architecture, engineering standards, automation and governance within a co-managed delivery model.

You will work across structured and semi-structured data from key internal systems, including HR, care delivery, finance, estates, medication and incident management to build reusable data pipelines, semantic models and certified datasets. Your work will directly support operational teams, strategic planning and improved outcomes for the people we support.

This role is ideal for someone who enjoys solving complex data challenges, building scalable solutions and embedding best-practice engineering within a collaborative, mission-driven environment.

Data Engineer: Technical Skills & Experience

We are looking for candidates with experience in:

• Cloud or data platform technologies (e.g., Azure, Fabric, Databricks)
• Operating and managing modern cloud-based data platforms
• Integrating third-party data feeds
• Exposure to DevOps or platform engineering
• Strong SQL for transformation, modelling and optimisation
• At least one data engineering programming language (e.g., Python)
• Data modelling (dimensional, star schema, analytics-optimised models)
• Building and maintaining production-grade ETL/ELT pipelines
• Orchestration and scheduling tools
• Version control (e.g., Git)
• CI/CD principles for data workloads
• Environment separation (Dev/Test/Prod)
• Writing maintainable, testable and well-documented code
• Applying GDPR and data protection principles, including privacy-by-design, retention, anonymisation and pseudonymisation

Data Engineer: Pay & Benefits

We recognise the importance of investing in our people and offer a competitive employment package, including:

• 34 days annual leave (including public holidays)
• Access to earned pay before payday
• Company pension scheme
• Generous occupational maternity/paternity pay
• Ongoing learning and development opportunities
• Health Cash Plan after probation (covering dental, optical, therapies, maternity/paternity, prescriptions and more)
• Opportunities for career progression

How to Apply

This role is being recruited by Sanderson Recruitment. Please apply with your CV.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Workday Data Lead - Financial

£700-750/day overall assignment rate to umbrella

Remote working

6-month initial contract

MUST have extensive Workday Financials experience

Working with a leading insurance client who are looking for a Data Lead to own the end-to-end data workstream.

Requirement for someone to lead the full data agenda across the programme lifecycle working across legacy systems, Workday, integrations and reporting requirements.

Workday Data Lead, key responsibilities:

• Lead data workstream across full programme lifecycle
• Define and deliver data strategy - data plan for Workday Financials implementation
• Own end-to-end data workstream
• Define and manage data governance model
• Ensure target data model supports business requirements
• Lead data discovery, profiling and impact assessment
• Oversee data extraction, cleansing and mapping process
• Drive development and validation of mapping rules
• Partner with testing to ensure data is fit for purpose to support UAT

Workday Data Lead, key skills:

• Prior experience working as a Data Lead on a Workday Financials implementation
• Understanding of Workday data migration - mapping, cleansing, reconciliation and cutover
• Understanding of finance data structures including master data
• Experience defining and managing data strategies and data plans
• Previously worked across multiple legacy systems and data sources
• Overseeing and coordinating technical teams
• Strong understanding of data quality and data controls

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

A leading Financial Services organisation undergoing a large scale data transformation is looking to hire an experienced Data Quality Manager on a permanent basis. The role offers a salary of £100,000 plus a strong benefits package and flexible working.

This role will suit a technically credible Data Quality leader with a genuine passion for data quality, accuracy and trust. You will work closely with data engineers and platform teams to embed pragmatic governance and quality controls into delivery, while influencing stakeholders across the business and possess a commercial mindset.

This is a hands on technical leadership role, combining data quality and governance ownership with practical engineering input. You will lead a small team and partner with data engineers and operational SMEs to embed best practice across data quality, governance and data management.

Role remit

• Own and evolve the data governance framework within an engineering-led environment
• Define governance standards, guardrails, data contracts and SLAs
• Partner with Risk, Audit, Data Protection and Legal to meet compliance requirements
• Work with data engineering teams to embed data quality into pipelines and workflows
• Provide hands-on guidance on data modelling, reconciliation, metadata and best practice

Experience required

• Strong background in Data Quality, Data Governance and Data Management within a modern data engineering environment
• Hands-on experience with cloud data platforms, Azure, SQL, Python and orchestration tools
• Proven experience embedding data quality controls across data pipelines and ETL transformation workflows
• Good understanding of modern data architectures and quality control patterns
• Experience with data profiling, lineage analysis, reconciliation and metadata management
• Strong stakeholder communication skills with the ability to influence engineering teams

If you are an experienced Data Quality Manager with the required background, please respond with an up-to-date CV for review.

At Barings, we are as invested in our associates as we are in our clients. We recognize those who work diligently for us and reward them for personal and professional integrity, communication skills, distinct competencies and expertise in specific strategies, ability to collaborate as a team member and true dedication to the interests of our clients.

We thank you for your interest in joining the Barings team, and invite you to explore our current employment opportunities.

Job Title: Enterprise Architect

Location: London or Charlotte, NC / Hybrid
Department: Global Technology & Operations
Reports To: Head of Enterprise Architecture
Level: Associate Director / Director (depending on experience)

About Barings

Barings is a leading global financial services firm committed to meeting the evolving investment and capital needs of our clients. Through active asset management and direct origination, we deliver innovative solutions and access to differentiated opportunities across public and private capital markets. With over $400 billion* in assets under management, Barings combines deep market insight, cross-asset expertise, and global reach to build long-term portfolios that deliver compelling outcomes. As a subsidiary of MassMutual, Barings maintains a strong global presence across North America, Europe, and Asia Pacific.

Role Summary

We are seeking an Enterprise Architect to join our team, bringing a strong foundation in both enterprise architecture governance and enterprise data principles. This position is pivotal in shaping and maintaining the architecture framework that supports our organisation’s strategic objectives, ensuring robust governance processes are in place and that data remains a trusted asset across the enterprise.

The ideal candidate will possess broad experience across all aspects of enterprise architecture, with demonstrated expertise in the design, implementation, and oversight of architecture governance practices. In addition, they should have a solid background in enterprise data architecture, enabling them to align technology solutions with business needs and enhance the value of data throughout the organisation.

This position involves strategic planning, working collaboratively with others, and influencing architecture standards and guidelines. It also includes supporting cross-functional teams in providing scalable and sustainable technology solutions.

Key Responsibilities

Architecture enablement and Governance

• Develop, maintain, and enhance the enterprise architecture framework, ensuring alignment with strategic business objectives and regulatory standards.
• Support and improve architecture governance processes and tools and participate in forums like the Architecture Review Board (ARB) to aid decision-making and ensure compliance with standards and best practices.
• Advise and support project teams on architectural design, solution selection, and implementation, promoting scalable and sustainable technology solutions.
• Maintain and contribute to enterprise-wide knowledge repositories and architecture artifacts, fostering knowledge sharing and continuous improvement.
• Collaborate with stakeholders, including solution architects, data engineers, business analysts, Security, Compliance, and platform teams, to define and implement data architecture strategies and roadmaps that drive business growth and operational efficiency.

Enterprise Data Architecture

• Support the creation and maintenance of reference architectures and integration patterns for data movement, consumption, and interoperability.
• Design scalable solutions across structured and unstructured data platforms (e.g., Databricks, Azure Data Fabric, Azure Data Lake, SharePoint).
• Integrate data governance and quality by embedding metadata management, lineage tracking, access controls, retention policies, and data quality standards across the enterprise.
• Enhance data discoverability, compliance, and stewardship by integrating with metadata platforms (e.g., Collibra, Purview) and collaborating with Data Governance and Risk teams.
• Stay current with emerging data technologies and industry trends, contributing thought leadership within internal and external forums to ensure Barings’ architecture remains forward-looking and competitive.
• Architect robust data platforms to enable advanced analytics and AI, supporting the deployment of models and pipelines.
• Work with AI/ML innovation labs and business teams to ensure data architectures support model training pipelines, retrieval-augmented generation (RAG), agent-based frameworks, and analytics use cases.

Qualifications & Experience

• 10+ years of experience in data architecture, enterprise architecture, Architecture and Design Governance, or related roles.
• Expertise in:
  • Cloud data platforms (e.g., Azure, Databricks)
  • Data integration and messaging (e.g., Azure APIM, Service Bus, Azure Data Factory, REST APIs)
  • Metadata and governance tools (e.g., Collibra, Purview)
  • Data Visualization tools (e.g. PowerBI)
  • Data modelling (conceptual, logical, physical)
  • Enterprise architecture tools (e.g., Ardoq)
• Familiarity with financial services data domains (e.g., investments, origination, research, client onboarding) and regulatory frameworks.
• Experience in Architecture and Design governance processes, tooling and integrations in large organisations while working with technical and business stakeholders.
• Proven ability to contribute to enterprise data strategies, collaborate with senior stakeholders, and deliver high-quality architectural artifacts.
• Understanding of data product and data mesh patterns to support decentralized ownership with enterprise-wide interoperability.
• Knowledge of architectural frameworks (TOGAF, DAMA-DMBOK), modern architecture styles (microservices, data mesh), and agile delivery methodologies.
• Strong communication skills with the ability to bridge technical and business audiences.

Preferred Qualifications

• Experience with AI/ML platforms and architectures (e.g., Azure AI, OpenAI, vector databases, RAG pipelines).

• Background in asset management, private credit, or institutional investment operations.

Requisite Skills

Additional Skills

Barings is an Equal Employment Opportunity employer; Minority/Female/Age/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply.

A leading Financial Services organisation is looking to appoint a Head of Data Platform Engineering to lead the design, development and ongoing evolution of its enterprise data platform. The role is offering a base salary of £125,000 plus excellent benefits. The business operates a remote-first model, with occasional travel to its London and Southeast office. This is a senior leadership role responsible for a modern Azure and Snowflake environment, leading teams across platform engineering, quality, and governance. You will shape the data platform roadmap, drive delivery across both strategic change and BAU, and play a key role in building a scalable, secure and high-performing data capability. The role will suit someone who combines strong technical depth with proven leadership experience in modern data platforms. You will be expected to improve engineering standards, strengthen DataOps and CI/CD practices, drive platform optimisation and cost control, and act as a senior partner to stakeholders across technology and the wider business. Key requirements 1. Strong experience leading modern data platform engineering teams 2. Deep knowledge of Snowflake, Azure and cloud-based data environments 3. Proven background in DataOps, DevOps, CI/CD and engineering best practices 4. Experience improving platform scalability, quality, security and governance 5. Ability to influence senior stakeholders and lead cross-functional delivery 6. Strong people leadership skills, with experience building capable, high-performing teams This is an excellent opportunity to join a business that is investing heavily in its data estate, where you will have real ownership, visibility, and the chance to shape the platform's future direction. If you are an experienced Head of Data Platform Engineering with the required background, please respond to this advert with an up-to-date copy of your CV for review.

• Inside IR35 Contract - Up to £850 per day
• 3 Days per week in Central London
• 6-Month Initial Contract (2 Years+ Project Scope)
• Start Date : April 2026

Hunter Bond are working alongside a leading Commodities Trading firm and assisting in their search for a Snowflake Data Platform Engineer to join their team. This is a hands-on role focused on implementing, optimising, and operating Snowflake-based data solutions to support analytics and business insights.

Key Responsibilities

• Design, build, and maintain Snowflake data models, schemas, and pipelines .
• Orchestrate ETL/ELT workflows using Dagster or Airflow .
• Implement infrastructure automation with Terraform for Snowflake resources and access controls.
• Develop and maintain data models in dbt , including dimensional (star/snowflake) and Data Vault approaches.
• Optimise Snowflake workloads for performance, cost-efficiency, and scalability .
• Ingest and transform data from multiple internal and external sources.
• Monitor, troubleshoot, and ensure data reliability and platform stability .
• Collaborate with engineers, analysts, and architects to deliver robust, secure, and maintainable data services .

Technical Skills Required

• Extensive hands-on experience with Snowflake , dbt , Dagster/Airflow , Terraform , and AWS (S3, IAM) .
• Strong programming skills in Python and/or Java , with deep understanding of ETL, data warehousing, and data lifecycle management .
• Knowledge of secure access patterns (OAuth/OIDC), data modelling (Data Vault, Star/3NF), and performance optimisation within Snowflake.

About the Business

Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation.

Quilter oversees £141.2 billion in customer investments (as at end December 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth.

Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business.

High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning - offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands.

At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues.

Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!

About the Role

Level: 5

Department: CDO

Location: Southampton or London

Contract type: Permanent

The Data Model and Requirements Manager plays a critical role in shaping Quilter’s enterprise data landscape. Sitting within the Chief Data Office (CDO) and reporting to the Head of Data Platform, this role ensures that business requirements are accurately captured, translated into robust data models, and governed effectively across the organisation.

You will be responsible for defining modelling standards, ensuring data consistency across domains, and partnering closely with business stakeholders, product owners, architects, and engineering teams to deliver high-quality, well-designed data assets that support actionable insights and strategic decision-making.

The key accountabilities for the role are as follows:

Team Management & Growth

Lead a small team of Business Data Analysts / Data Modelers through coaching, mentorship, and technical guidance

• Support individual career development and performance feedback, creating growth opportunities for your team
• Foster a collaborative, inclusive, and high-performance team culture

Requirements Management

Lead the capture, refinement, and documentation of detailed business and technical requirements for data initiatives.

• Act as the primary liaison between business SMEs and technical delivery teams, ensuring clarity, accuracy, and traceability of requirements.
• Translate complex business processes into structured requirements, process maps, user stories, and acceptance criteria.
• Maintain a prioritised backlog aligned to strategic objectives and data platform capabilities

Data Modelling Leadership

• Own the enterprise logical and conceptual data models for assigned domains, ensuring they align with Quilter’s reference architectures.
• Define, evolve, and enforce data modelling standards (e.g., Kimball, Data Vault, canonical models).
• Review engineering and analytics deliverables to ensure alignment to approved models.
• Ensure data is structured to support analytics, reporting, operational processes, and regulatory needs.
• Maintain metadata, lineage, and model documentation within Quilter’s data catalogue and governance tools.

Cross-Functional Collaboration

• Partner with engineers, analysts, architects, and product managers to ensure technical delivery aligns with business intent.
• Work closely with governance teams to embed data quality rules, ownership structures, and compliance standards into models and requirements.
• Facilitate workshops to drive stakeholder understanding of data requirements, domain boundaries, and business rules.
• Influence project scoping, sequencing, and planning from a data requirements perspective.

Operational & Governance Excellence

• Ensure models and requirements adhere to data governance, privacy, and regulatory expectations (e.g., GDPR, retention rules).
• Define and maintain glossaries, data definitions, and business rules across domains.
• Support incident analysis where data quality, lineage, or model interpretation is a factor.
• Promote consistent modelling patterns to reduce duplication and improve data reuse across Quilter.

About You

Qualifications

• Degree in a technical discipline (e.g. computer science, engineering, maths, physics) or evidence of equivalent practical experience

Knowledge & Experience

• Significant experience in data modelling, including conceptual, logical, and physical models.
• Experience with Kimball, Data Vault, canonical modelling, and enterprise data modelling techniques.
• Strong background in requirements gathering across complex technical and business environments.
• Familiarity with Azure data ecosystem, Databricks, Microsoft Fabric, and modern data platforms.
• Understanding of metadata management, cataloguing, lineage, and access governance.
• Experience supporting multiple squads or projects simultaneously with structured modelling and requirements practices.
• Knowledge of regulatory expectations such as GDPR, retention, and data governance controls.
• Ability to interpret data designs, schemas, and engineering documentation

Skills

• Skilled in translating business needs into precise, structured, and well-documented requirements.
• Strong communication skills - able to simplify complex concepts for non-technical stakeholders.
• Proficient in modelling tools (e.g., Erwin, PowerDesigner, Lucidchart, Synapse/Fabric modelling tools).
• High attention to detail, analytical rigour, and structured problem-solving.
• Comfortable challenging assumptions and guiding stakeholders to well-designed solutions.
• Able to influence without authority and drive alignment across technical and business teams.

#LI-PM1

Inclusion & Diversity

We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience, and potential. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive.

Values

Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities.
Always curious: We continuously seek new ideas and knowledge so we’re one step ahead of our clients’ needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures.
Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation.
Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions.

Core Benefits

Holiday: 182 hours (26 days)

Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.

Pension Scheme: A non-contributory company pension scheme that can be boosted through personal contributions.

Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.

Life Assurance: 4x your salary.

Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.

Healthcare Cash Plan: Jersey employees only

In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.

Data Manager

Manchester (Hybrid - 2 days onsite) | ASAP start | £330-430pd Inside IR35

This is a fantastic opportunity to join a highly collaborative, data-driven environment, working at the heart of governance, quality and compliance across a large-scale migration to a centralised data platform. This is an initial 6 month contract, with strong ownership from day one and a structured handover planned.

As a Data Manager, you’ll play a key role in defining, improving and governing data quality across the business unit. You’ll work closely with Product, Engineering and Data teams to ensure data is accurate, compliant and fit for purpose. This is a hands-on role with a strong mix of technical data work, stakeholder engagement and governance oversight.

What You’ll Be Doing:

• Define and implement data quality standards, frameworks and controls
• Monitor and proactively identify data quality issues, driving root cause analysis and resolution
• Support data lifecycle management and data retention
• Work on data migration initiatives into a centralised platform
• Improve data workflows, lineage and governance processes
• Partner with Product Managers, Data Engineers and Analysts to ensure high-quality, trusted data
• Drive automation of data quality checks and reporting

What We’re Looking For:

• Experience in Data Management, Data Governance or Data Quality
• Strong understanding of data quality frameworks and governance principles
• Experience working with data lifecycles, retention and compliance
• Ability to work closely with technical teams, comfortable discussing data models, ETL and workflows
• Strong stakeholder management, confident, proactive and able to own conversations
• Analytical mindset with experience investigating and resolving data issues

Tech & Tools:

• SQL and/or Python for data analysis
• Data visualisation tools (Power BI, Tableau)
• Exposure to modern data platforms (e.g. Snowflake)
• Interest in using AI tools (e.g. Gemini, Claude) to improve productivity and data quality processes
• Knowledge of governance tools is a plus

Nice to Have:

• Experience in Insurance or Financial Services environments
• Exposure to data quality tools or governance implementations
• Experience working on data migrations or centralisation programmes

Why Apply?

• Work on a high-impact data transformation programme
• Gain exposure to modern data platforms and AI-driven tooling
• Join a globally recognised, data-led organisation
• Immediate start with clear ownership and influence

Business Analyst - SAP RISE Migration (Data & Processes)

Initial 6 month contract | Major Transformation Programme | £500-600pd inside IR35 | Hybrid working in Manchester as needed for meetings & workshops

We’re looking for a hands-on Business Analyst to play a key role in a large-scale SAP RISE migration programme, focused on data, processes and capability build out. This is a high-impact, discovery-led role where you’ll operate with strong autonomy; owning conversations, shaping requirements and translating complex business problems into clear, actionable outputs for engineering and product teams.

You’ll be working at the heart of a data-driven transformation, helping define how data flows into SAP RISE, where data quality is governed and how processes are redesigned for the future state.

What You’ll Be Doing:

Discovery & Problem Solving

• Take ownership of end-to-end discovery within your capability area
• Engage the business to understand problems, challenge assumptions and define solutions
• Confidently work from problem → analysis → recommendation → presentation
• Translate ambiguity into structured outputs and clear direction

Data & Process Analysis

• Analyse data flows, pipelines and process interactions feeding into SAP RISE
• Define where data quality, ownership and governance should sit
• Work closely with engineering teams to ensure feasible and scalable solutions
• Support migration from legacy SAP ECC environments into future-state architecture

Stakeholder Management

• Proactively engage and manage stakeholders across Product, Engineering, Finance Tech and Operations
• Lead workshops (Manchester based) to drive alignment and gather requirements
• Communicate effectively across both technical and non-technical audiences
• Operate confidently across international teams

Requirements & Delivery

• Own requirements and artefacts end-to-end (including PRDs, process flows and documentation)
• Get into the detail where needed but confidently summarise and present at a senior level
• Identify dependencies across the wider programme and avoid siloed thinking

What We’re Looking For:

• Strong Business Analysis experience in complex, data-driven environments
• Proven ability to own stakeholder conversations and drive outcomes independently
• Experience working on SAP migrations (ideally SAP RISE or ECC transformation)
• Strong communication skills, able to deep dive and summarise effectively
• Confident, proactive and comfortable working in ambiguity
• Experience with data flows, pipelines or data-led transformation projects
• Exposure to finance systems or enterprise-scale platforms highly desirable
• Experience working across global teams and multi-location programmes

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!

ROLE SUMMARY:

As the Solution Architect you support the evolution of LSEG’s People Technology landscape by defining and delivering scalable, data-driven architecture aligned to a product-led operating model.

You will focus on establishing a service-layer architecture that enables reusable People capabilities, improves integration across platforms, and strengthens the use of People data for operational and strategic outcomes.

As the architect you will work across Workday and the wider enterprise ecosystem to ensure solutions are aligned to standards, reduce complexity, and enable AI and workforce intelligence use cases .

WHAT YOU’LL BE DOING:

• Define and design end-to-end solution architectures for People products and services aligned to enterprise standards

• Establish and evolve Integration and communication patterns (APIs, workflows, event-driven integration) to enable reusable capabilities across value streams

• Define and maintain People data models , including data flows, ownership, and integration across systems (e.g. Workday, ServiceNow, Finance platforms)

• Translate business requirements into scalable, secure, and maintainable solution designs , covering functional and non-functional needs

• Provide clear solution views and architecture artefacts to support stakeholder understanding and decision-making

• Align architecture decisions to product lifecycle, value streams, and platform strategy

• Support vendor and solution evaluation across SaaS, PaaS, and enterprise platforms

• Ensure solutions meet enterprise architecture, security, and compliance standards

• Define and enforce integration patterns , reducing point-to-point dependencies and improving data consistency

• Collaborate with engineering, product, and data teams to ensure consistent implementation of architectural designs

• Support design reviews, governance forums, and architecture assurance processes

• Identify opportunities to simplify the technology estate , improve reuse, and reduce total cost of ownership

• Contribute to enabling AI and data-driven use cases , ensuring solutions are built on high-quality, accessible data

• Work closely with business and functional stakeholders to develop a clear understanding of problem statements, options, and trade-offs

WHAT YOU’LL BRING:

• Experience designing solution architectures across complex enterprise environments

• Strong understanding of service-oriented architecture , APIs, and event-driven integration patterns

• Experience in cloud platforms (AWS, Azure, GCP ) and hybrid environments

• Strong understanding of data architecture and data modelling , including data capture, integration, and reporting

• Experience integrating enterprise SaaS platforms (e.g. Workday, ServiceNow, ERP systems)

• Knowledge of People / HR domains and data structures (e.g. worker, job, organisation, workforce processes)

• Experience delivering data-driven or analytics-enabled solutions in regulated environments (e.g. financial services)

• Ability to design solutions connecting multiple process domains (HR, Finance, Risk, Information Security)

• Strong understanding of architecture standards, governance, and delivery frameworks

• Experience working across different solution models (SaaS, PaaS, managed services)

• Strong analytical and problem-solving skills, with the ability to apply practical solutions to complex problems

• Ability to operate independently and support multiple workstreams

• Strong communication skills, with the ability to translate technical concepts for non-technical stakeholders

• Experience collaborating across business, engineering, and operations teams

WHAT THIS ROLE DELIVERS:

• Improved reuse and scalability of People technology capabilities

• Reduced integration complexity and platform dependency

• Stronger People data foundations for reporting, analytics, and AI

• Alignment to a product-led, service-oriented operating model

• Measurable contribution to cost reduction and estate simplification

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

ROLE SUMMARY:

Own the end-to-end data architecture for the Active Data Layer (ADL) programme across LSEG Risk Intelligence Engineering. Define and evolve the data flows, data models, integration patterns, and data assurance architecture that underpin World-Check’s full data lifecycle, from acquisition, through curation, to distribution.

Drive the data assurance strategy, embedding architectural foundations for data quality, lineage, and governance into ADL from the ground up. Partner with the AI Practice Lead to ensure data architecture enables safe, scalable adoption of AI and agentic capabilities. This is a senior IC role leading through influence and deep technical expertise.

WHAT YOU’LL BE DOING:

Data Architecture & Data Flows

• Own the end-to-end data architecture for ADL: target-state designs, canonical data models, data flow patterns, and platform standards across World-Check’s full data lifecycle.
• Architect data flows between legacy systems, the new curation platform, and customer-facing distribution channels, ensuring traceability, consistency, and completeness.
• Design the data migration architecture from legacy to the new platform, ensuring data preservation, field mapping correctness, and schema integrity.
• Define event-driven data flow patterns for real-time propagation, including event schemas, ordering guarantees, and idempotency.
• Evaluate and recommend data technologies (event streaming, graph databases, data lakes, lakehouses) appropriate to ADL requirements.

Data Assurance & Quality

• Drive the data assurance strategy within ADL, translating preventive, detective, and corrective control frameworks into architectural components.
• Design data lineage and provenance infrastructure enabling end-to-end traceability from source through curation to publication.
• Architect data contract and schema governance across pipeline boundaries, structurally enforcing schema conformity and API contract compliance.
• Define the data quality measurement architecture: where quality dimensions are measured, how thresholds are evaluated, and how results feed dashboards.
• Design reconciliation architecture supporting regression testing in non-production and continuous reconciliation in production.
• Architect test data management: synthetic data for development, production-representative data for testing, and golden datasets for regression.

AI & Agentic Data Enablement

• Design data pipelines, feature stores, and access patterns for AI/ML model training, evaluation, and serving.
• Architect data foundations for agentic curation: data contracts, schema validation, and lineage capture at agent boundaries.
• Design AI evaluation infrastructure: golden dataset storage, semantic comparison pipelines, and confidence calibration measurement.
• Define data contract and versioning standards supporting rapid AI experimentation with production-grade reliability.

Data Modelling, Governance & Platform

• Lead conceptual, logical, and physical data model design for ADL domains (screening, due diligence, entity resolution, adverse media).
• Partner with data governance and compliance teams to embed data ownership, classification, lineage, and access control into the architecture.
• Architect observability, monitoring, and alerting for production data quality: freshness, completeness, schema drift, and anomaly detection.
• Provide architectural guidance on cloud-native data services, storage strategies, compute scaling, and cost optimisation.

Technical Leadership

• Act as the senior technical voice for data architecture across ADL, translating complex concepts into clear recommendations for engineering, product, and business stakeholders.
• Partner with the AI Practice Lead on feasibility, dependencies, risks, and sequencing for AI initiatives.
• Mentor engineers and data professionals on data modelling, data flow design, and assurance best practices.

WHAT YOU’LL BRING:

Qualifications & Experience

• 10+ years in data architecture or data engineering in complex, large-scale environments; 5+ years in a senior/lead architect capacity.
• Proven experience designing end-to-end data architectures supporting AI/ML, analytics, and real-time data products.
• Deep hands-on experience with modern data platforms (e.g., Snowflake, Databricks, Spark, Kafka, Elasticsearch, graph databases, AWS/Azure/GCP).
• Experience designing data quality and assurance frameworks: data lineage, data contracts, reconciliation, and quality measurement at scale.
• Background in financial services, risk, compliance, or highly regulated data-intensive environments (preferred).
• Experience with large-scale data migration programmes and legacy-to-modern platform transitions (preferred).

Skills & Knowledge

• Data Architecture: Data modelling (conceptual, logical, physical), data flow design, event-driven architectures, integration patterns.
• Data Assurance & Quality: Data lineage, provenance, data contracts, reconciliation, and quality controls embedded across pipelines.
• AI/ML Data Foundations: Feature stores, ML pipelines, vector databases, embeddings, and data requirements for LLM/agentic systems.
• Cloud & Platform: Cloud-native data services, infrastructure-as-code, scalable platform patterns.
• Communication & Influence: Articulating complex decisions to technical and non-technical audiences; influencing without authority.

Nice to Have

• Knowledge graphs, entity resolution, or graph-based models in risk, compliance, or financial crime domains.
• MLOps/LLMOps tooling from a data architecture perspective (feature stores, model registries, eval infrastructure).
• Data assurance or continuous testing frameworks: automated reconciliation, drift detection, quality gate integration into CI/CD.

Career Stage:
Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Senior Data Engineer London (Hybrid Working) Full-time | Permanent £80,000 - £90,000 (depending on experience) About the Company: Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system. You'll be part of a collaborative, inclusive team solving complex problems in a fast-paced, high-impact environment. About the Role: We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You'll focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You'll work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems. What You'll Do: \* Design and build scalable data services within a modern architecture. \* Develop ETL pipelines for efficient data ingestion and transformation. \* Enable advanced analytics and optimisation of energy assets. \* Apply DevOps best practices using Terraform and AWS. \* Maintain high standards of data quality and reliability. \* Collaborate across teams to deliver impactful solutions. \* Mentor team members and promote best practices. About You: \* Degree in Computer Science (or equivalent experience) \* Strong experience with data pipelines, storage, and platforms \* Advanced Python skills and production-level coding experience \* Experience building and deploying data services end-to-end \* Solid understanding of ETL and data engineering best practices \* Experience with SQL/NoSQL, APIs, and cloud platforms \* Familiarity with big data tools and MLOps concepts \* Strong communication, collaboration, and mentoring skills Main Tech Stack: Python AWS (S3, Athena), Terraform, Docker Prefect, Pulsar PostgreSQL, Cassandra GitLab CI/CD What's On Offer: 25 days holiday + bank holidays + festive closure Flexible, hybrid working Enhanced parental leave Annual salary reviews Learning & development budget + paid memberships Inclusive culture, employee networks, and regular socials Sound good to you? Send your CV to Lily at Viqu Energy today

A tier 1 Investment Bank in Central London is building a new data platform to strengthen Risk and ESG reporting. It will suits a senior Technical Systems Analyst who can move confidently between architecture, data design, and hands‑on analysis, while keeping diverse stakeholders aligned. The role will provide hybrid working opportunities, and will last for an initial 9 months (with a strong opportunity of extension). Applicants must have extensive experience in the banking sector. Responsibilities 1. Define and translate business, regulatory and architectural needs into clear technical requirements. 2. Support ESG reporting solution design, data modelling, lineage, and metadata structures. 3. Work with Risk, Compliance, Sustainability, Data Governance and IT to align scope and delivery. 4. Contribute to database design, integration patterns, data‑flow mapping and non‑functional requirements. 5. Oversee configuration, testing and deployment with internal teams and vendors. Requirements 1. Thorough experience in business/systems analysis within banking 2. Strong data‑modelling, database‑design and technical‑requirements expertise. 3. Experience across integration design, data profiling/validation and Agile delivery. 4. Confident stakeholder management skillset across business and technology. 5. Familiarity with BCBS239 frameworks and ESG