Technical Lead Full Stack Developer

(TypeScript, JavaScript, Node)

Location: Hybrid working within Hampshire / West Sussex
Salary: Competitive + benefits

We’re working with a fast-growing UK SaaS technology company that builds data-driven digital products used by commercial teams to better understand and engage with their customers. They are now looking for an experienced technical lead full stack developer to play a key role in shaping and delivering their next generation of customer-facing platforms.

This is a hands-on technical leadership role where you’ll be involved from early design through to production delivery, working with a modern cloud-based stack and deploying to live environments on a daily basis.

The Role

• Lead technical delivery across a high-performing development squad (10+)
• Contribute to solution design, system architecture and domain modelling
• Build proof-of-concepts and spike complex or uncertain areas of work
• Break down requirements into deliverable epics and user stories alongside product and initiative managers
• Develop and deliver production-ready code across the full stack
• Ensure high standards of quality, maintainability, performance and security
• Support and improve live systems once deployed
• Influence technical direction, tooling and best practice across the wider engineering function

Tech Environment

You’ll work with a modern stack including:

• Node.js microservices
• JavaScript & TypeScript
• Vue.js
• Redis, SQL Server & Snowflake
• AWS cloud infrastructure
• CI/CD pipelines and DevSecOps practices

About You

• Strong full stack development experience (ideally 10+ years)
• 5+ years of JavaScript and TypeScript experience
• Solid background in system design and scalable architectures
• Experience building large, production SaaS platforms
• A clean-code mindset (SOLID principles, design patterns, testable code)
• Experience working in mature CI/CD and continuous deployment environments
• A commercial mindset when designing and delivering software
• Excellent collaboration skills and confidence working with stakeholders
• Interest in using AI to accelerate and improve software development
• A passion for performance, security and engineering best practice
• Degree in Computer Science or equivalent real-world experience

What’s On Offer

• Competitive salary and benefits package
• Hybrid working (1 day per week in the Fareham office)
• Opportunity to join a scaling UK SaaS business
• Strong engineering culture with a focus on quality and continuous improvement
• Supportive, collaborative working environment
• Community and charity initiatives, including volunteer days

Send your CV across to me on email or call 02380 765 808 for more information.

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Job Title: Data Solution Architect (AWS, Data Engineering)
Location: Norwich, Norfolk (3 Days a week)
Job Type: Contract (Inside IR35)
Duration: 6 Months The Role Your Responsibilities: (Up to 10, Avoid repetition)

• Experience as Solution Designer and should be currently working on Data Lake (Big Data) based projects.
• Guide the full lifecycle of a BI solution, including requirements impact analysis, platform selection, technical architecture design, application design and development, testing, and deployment.
• Ability to demonstrate structured consideration of multiple options (ideally comparing competing technologies, but even comparing different functional design approaches / options would be helpful); [eg Produce a KDD]
• Ability to present / discuss competing options and make a recommendation to key stakeholders [as per KDD, but ability to discuss with others to gain support and/or feedback]
• Ability to present recommended design to a governance group / authority, and to champion the design whilst responding to the group’s feedback.
• Thought leadership in Big Data space with proven expertise in delivering challenging assignment.
• Provide thought leadership for Data Management, Data Migration Strategy and Data Lake Solutions.
• Good knowledge on Data Modelling and able to translate Business requirements to Design and Data Models, technical designs and analytical solutions to meet business needs.
• Liaising with enterprise architects, solution designers, analysts, and development partners.
• Designing the BI Big data solution and application customization on an AWS Cloud based platform.
• Provide technical assistance to development team with day today technical issues.
• Undertaking the deployment of proposed solution.

Your Profile Essential skills/knowledge/experience:

• Good understanding of Data Lake and Big Data technologies.
• Understanding of AWS Services will be required.
• AWS native data services (S3, Lambda, Kinesis) etc.
• ETL/ELT solutions such as AWS glue, DBT, Data solutions such as Snowflake.
• Good understanding of Insurance Domain.

Desirable skills/knowledge/experience: (As applicable)

• BFSI domain experience (risk, fraud, AML, credit, customer analytics).
• Exposure to GenAI, LLMs, and vector databases.
• TOGAF or cloud architecture certifications.

Lead Data Platform Engineer - Urgent Contract Role - (Snowflake + Core Banking)

Outside IR35 | £650-750/day | 2-3 days on-site in London | Initial 3 months | ASAP start

We’re supporting a financial services organisation standing up an entirely new banking data function, building a modern core banking platform using Snowflake.

This is a hands on technical leadership role responsible for architecting, designing, and building the full end to end data platform: ingestion, medallion layers, data warehouse stores, and downstream reporting. You’ll be working across high volume financial data, streaming pipelines, and a modern cloud native stack.

You’ll own the delivery of scalable data foundations, medallion structured financial models, and operational reporting capabilities consumed across the business.

You must be able to operate autonomously and bring deep experience in Snowflake and modern banking data architectures.

You also must be available within the next 2 weeks and willing to go into a Central London office 2-3 days per week.

Key Responsibilities

• Architect and build all core data warehouse layers across Snowflake, including raw, staging, and curated financial domains
• Ingest and model data from a core banking system
• Integrate with an enterprise integration layer and manage streaming ingestion where Snowflake subscribes to event streams
• Implement medallion architecture for financial datasets, ensuring accuracy, lineage, and auditability
• Define data architecture standards, best practices, and governance across a greenfield platform
• Act as the technical lead across the full data life cycle including design, implementation, optimisation, and roll out

Ideal Candidate

• Strong Snowflake engineering and architecture experience
• Background in banking or financial services data platforms
• Experience working with core banking data
• Demonstrated ability to build streaming ingestion and event driven pipelines
• Comfortable leading end to end implementation on a greenfield platform
• Strong stakeholder communication skills capable of shaping technical decisions and overall data strategy

Tech Requirements:

• Snowflake
• Core Banking Platform
• Integration Layer such as MuleSoft
• Streaming pipelines
• Medallion Architecture
• AWS storage and hosting
• SQL

If you are interested, please apply below.

AI Architect

Financial Services London Hybrid

At Datatech Analytics, we’re delighted to partner with a global consulting organisation expanding its AI and Data capability within Financial Services.

The firm works with major banks, insurers and capital markets institutions to design and deploy enterprise AI platforms, helping organisations transform how data and AI drive decision making across the business.

As demand for AI transformation programmes continues to grow, the business is looking to hire an AI Architect to help shape and deliver complex AI platforms for large financial institutions.

The role

You will design and architect enterprise AI platforms, translating complex business challenges into scalable AI and data solutions.

Working closely with engineering teams and senior stakeholders, you’ll help organisations move from experimentation with AI to production-ready AI systems embedded within core business platforms.

What you’ll be doing

Defining enterprise AI architecture strategies for financial services clients.

Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems.

Architecting end-to-end AI pipelines , from data ingestion through to model deployment.

Leading engineering teams across AI, machine learning and data engineering.

Engaging senior stakeholders to shape AI transformation programmes and technical strategy.

Technology environment

Typical platforms and technologies include:

Cloud platforms such as AWS, Azure or Google Cloud
Data platforms including Databricks, Snowflake or BigQuery
Python and modern ML frameworks
Generative AI, LLM integration and RAG pipelines
MLOps tooling and modern ML lifecycle management.

The profile

Experience designing enterprise AI or data platforms in complex technology environments.

A background delivering large-scale transformation programmes, often within consulting or advisory environments.

Strong technical leadership combined with the ability to engage senior stakeholders across business and technology teams.

Experience working within Financial Services environments is highly valued.

If you’d like to learn more about the opportunity, feel free to reach out for a confidential conversation.APPLY NOW

Datatech Analytics

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London.

You MUST have the following:

• Good experience as a Data Engineering Manager/Lead Data Architect
• Strong management experience- inheriting teams, raising standards and performance
• Strategy to align with the needs of the business
• Excellent design and architecture ability
• MS SQL Server
• Azure
• AI - even if outside work
• Agile
• Experience in a financial environment

The following are DESIRABLE, not essential:

• Microsoft Fabric, Synapse, Databricks or Snowflake

Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company’s strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.

On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business’ goals and evolution.

On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.

The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.

The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.

Salary: £100k - 125k + Bonus + Pension

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

• Strong experience leading modern data platform engineering teams
• Deep knowledge of Snowflake, Azure and cloud-based data environments
• Proven background in DataOps, DevOps, CI/CD and engineering best practices
• Experience improving platform scalability, quality, security and governance
• Ability to influence senior stakeholders and lead cross-functional delivery
• 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.

This is a senior individual contributor role with significant cross-functional influence. The successful candidate will be expected to lead vendor negotiations, manage licensing compliance, and deliver a multi-year improvement project, while transitioning new capabilities into business-as-usual operations.

Role Outcomes

• Lead the delivery of the Market Data Consolidation project, including vendor renegotiations, centralisation of feeds via the Enterprise Data Platform (EDP), and implementation of a Market Data Management (MDM) tool and data catalogue.
• Manage strategic vendor relationships and lead contract negotiations with the “Big 6” providers and over 100 smaller suppliers.
• Oversee the full market data budget, identifying and delivering cost savings through usage optimisation, contract consolidation, and improved governance.
• Establish a centralised market data distribution model, ensuring consistent, timely access to data across the business.
• Perform detailed feed-level analysis across vendors, comparing coverage, timeliness, granularity, and cost to identify duplication, gaps, and consolidation opportunities across pricing, reference, index, and analytics data.
• Use SQL and data analytics to interrogate market data usage, lineage, and consumption patterns within Snowflake/EDP, identifying optimisation opportunities and unused or overlapping entitlements.
• Identify synergies and rationalisation opportunities between market data feeds, platforms, and downstream consumers, driving simplification of the market data landscape.
• Implement governance frameworks for licensing, usage, and entitlements, ensuring compliance with vendor agreements and exchange policies.
• Act as the key liaison between business, technology, and compliance teams to align data services with operational and regulatory needs.
• Provide project leadership for the transformation programme, coordinating cross-functional delivery and ensuring successful transition to BAU.
• Monitor and report on market data usage, entitlements, and spend, using analytics to drive continuous improvement and cost control.

Technical Skills

• Deep knowledge of market data vendors, products, and licensing models (eg Bloomberg, Refinitiv, FactSet, FTSE, ICE, Morningstar).
• Experience managing large-scale vendor contracts and enterprise-level negotiations.
• Familiarity with market data compliance, licensing audits, and exchange rules.
• Understanding of data integration platforms and enterprise data architecture (eg Snowflake, EDP).
• Experience implementing MDM tools, data catalogues, and entitlement management systems (eg MDSL, FITS, DACS).
• Strong analytical skills with the ability to interpret usage data and identify optimisation opportunities.
• Knowledge of financial markets and instruments, including pricing, indices, analytics, and reference data.
• Strong SQL skills with hands-on experience analysing large-scale market data sets in cloud data platforms (eg Snowflake), including usage, coverage, and cost attribution.
• Proven experience in market data feed comparison and consolidation, including identification of overlapping datasets, coverage gaps, and vendor substitution opportunities.
• Hands-on knowledge of market data consolidation programmes, including central ingestion, normalisation, entitlement mapping, and downstream distribution.
• Experience leveraging AI/advanced analytics to enhance market data governance, including automated data classification, usage pattern detection, anomaly identification, and cost optimisation insights.
• Understanding of data lineage, metadata, and data quality controls as applied to market data within enterprise data platforms.

Professional Skills

• Strong stakeholder management and communication skills across business, technology, procurement, and compliance.
• Proven leadership in delivering complex, cross-functional programmes, including project planning, risk management, and stakeholder engagement.
• Commercial mindset with a focus on cost control, value delivery, and ROI.
• Organised and process-oriented, with a focus on governance and operational excellence.
• Experience in financial services, ideally within investment or wealth management.
• Ability to operate independently while collaborating across teams to deliver strategic outcomes.

Data Architect (Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London.

You MUST have the following:

• Good experience as a Data Engineering Manager/Lead Data Architect
• Strong management experience- inheriting teams, raising standards and performance
• Strategy to align with the needs of the business
• Excellent design and architecture ability
• MS SQL Server
• Azure
• AI - even if outside work
• Agile
• Experience in a financial environment

The following are DESIRABLE, not essential:

• Microsoft Fabric, Synapse, Databricks or Snowflake

Role: Data Architect (Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company’s strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.

On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business’ goals and evolution.

On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.

The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.

The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.

Salary: £100k - 125k + Bonus + Pension

Lead the engineering standards behind a High-Growth UK SaaS platform

Software Development Manager

• NestJS / NodeJS, Vue: .NET backgrounds welcome
• Surrey / Hampshire
• Up to £100,000 + benefits

If you’re a technically strong engineering leader who built your career on solid engineering foundations (whether in C# / .NET or modern JavaScript frameworks) and still care deeply about code quality, DevOps maturity, and scalable systems, this is a genuinely exciting opportunity.

We’re partnered with a high-growth UK SaaS technology company building data-driven digital products that help commercial teams better understand and engage their customers. As they scale their customer-facing platforms, they’re looking for an experienced Software Development Manager to shape engineering standards and lead the next phase of platform evolution.

The Tech Environment

The company’s stack has evolved. Originally built on a Microsoft / C# / .NET foundation, the platform has transitioned to a more modern stack including: NestJS / NodeJS, Vue, Redis, SQL Server, Snowflake.

They are open to candidates from a strong .NET background who have since gained experience in modern JavaScript/TypeScript ecosystems. Or who can demonstrate the adaptability and technical depth to operate in this environment.

What matters most is engineering quality, architectural thinking, and leadership credibility, not a rigid checklist of frameworks.

You’ll balance people leadership, technical direction, and delivery performance, ensuring teams build maintainable, secure, and high-performing systems.

What We’re Looking For

• Significant experience in a SaaS or product-led environment
• Strong previous experience as a hands-on software engineer (C#/.NET or modern JS/TS stacks)
• Proven leadership of engineering teams
• Experience building and operating systems at scale
• A solid understanding of automated testing and QA practices
• Familiarity with modern DevOps approaches
• Strong interpersonal and collaboration skills
• The ability to quickly pick up new tools and solve complex problems

Interested?

If you’re a strong engineering leader who wants to influence platform direction without stepping away from technical depth, this role offers real impact in a growing SaaS business.

Apply now or contact us for more details: / 02380 765 808

Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Engineering Lead / Manager (C# C++ AWS) London / WFH to £175k+

Do you have expertise with modern software engineering leadership combined with Capital Markets business knowledge?

You could be progressing your career, in a senior, impactful role at a global leading Fintech.

As the Engineering Lead / Manager you’ll manage 6-7 Team Leads, with approximately 50 indirect reports, growing to 75. You’ll take a lead role in the AWS based modernisation, setting engineering excellence, ensuring architectural alignment, delivery and predictable roadmap execution.

You will define and scale AWS architectures, modernise legacy services to cloud and standardise APIs, events, data models and performance patterns, driving the adoption of Snowflake and use of AI for backlog refinement, automated test generation, defect clustering and code quality insights.

Location / WFH:

You’ll join colleagues in the London office three days a week with flexibility to work from home the other two days.

About you:

• You’re a technical leader with advanced people management skills, able to lead multi-stream programmes
• You have experience within a Capital Markets finance environment (back, middle, front office trading operations)
• You have a strong technical, software engineering background with C# or C++
• You have a strong knowledge of Cloud based systems, AWS preferred (EKS / ECS, Lambda, Aurora, DynamoDB, MSK, S3)
• You have a strong knowledge of modern tools and best practices including Snowflake (or similar), CI/CD, DevOps, secure coding practices and observability
• You have advanced leadership, communication and stakeholder management skills
• You are degree educated in Computer Science (or closely related discipline)

What’s in it for you:

As a Engineering Lead / Manager you will receive a competitive package:

• Salary to £110k
• Pension (to 9% contribution)
• Healthcare
• Volunteer / charity days
• Hybrid working
• Career development and training

Apply now to find out more about this Engineering Lead / Manager (C# C++ AWS) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We’re an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Data Architect (Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London.

You MUST have the following:

• Good experience as a Data Engineering Manager/Lead Data Architect
• Strong management experience- inheriting teams, raising standards and performance
• Strategy to align with the needs of the business
• Excellent design and architecture ability
• MS SQL Server
• Azure
• AI - even if outside work
• Agile
• Experience in a financial environment

The following are DESIRABLE, not essential:

• Microsoft Fabric, Synapse, Databricks or Snowflake

Role: Data Architect (Architecture Data Development Engineer Engineering Manager Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company’s strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.

On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business’ goals and evolution.

On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.

The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.

The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.

Salary: £125k - 150k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London.

You MUST have the following:

• Good experience as a Data Engineering Manager/Lead Data Architect
• Strong management experience- inheriting teams, raising standards and performance
• Strategy to align with the needs of the business
• Excellent design and architecture ability
• MS SQL Server
• Azure
• AI - even if outside work
• Agile
• Experience in a financial environment

The following are DESIRABLE, not essential:

• Microsoft Fabric, Synapse, Databricks or Snowflake

Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Croydon, London. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company’s strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.

On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business’ goals and evolution.

On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.

The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.

The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.

Salary: £125k - 150k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent.

You MUST have the following:

• Good experience as a Data Engineering Manager/Lead Data Architect
• Strong management experience- inheriting teams, raising standards and performance
• Strategy to align with the needs of the business
• Excellent design and architecture ability
• MS SQL Server
• Azure
• AI - even if outside work
• Agile
• Experience in a financial environment

The following are DESIRABLE, not essential:

• Microsoft Fabric, Synapse, Databricks or Snowflake

Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Tunbridge Wells, Kent. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company’s strategy with the roadmap for the data environment.

In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.

On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business’ goals and evolution.

On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.

The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.

The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.

Salary: £80k - 100k + Bonus + Pension

Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton.

You MUST have the following:

• Good experience as a Data Engineering Manager/Lead Data Architect
• Strong management experience- inheriting teams, raising standards and performance
• Strategy to align with the needs of the business
• Excellent design and architecture ability
• MS SQL Server
• Azure
• AI - even if outside work
• Agile
• Experience in a financial environment

The following are DESIRABLE, not essential:

• Microsoft Fabric, Synapse, Databricks or Snowflake

Role: Data Engineering Manager (Architect Architecture Data Development Engineer Engineering Management Head of Agile Microsoft Azure ML AI Automation Finance Financial Services Fabric Synapse DataBricks Snowflake SQL) required by our financial client in Brighton. You will inherit a team of 3, comprising two permanent staff and one contractor. The contractor is senior, the two permanent are more junior, making this a very hands-on role. It will be all-encompassing, involving data architecture, engineering for technical delivery and management to cover line-management of the team and alignment of the company’s strategy with the roadmap for the data environment. In addition to this are data governance and regulatory compliance requirements that you will also have ownership of.

On the engineering and architecture side, you will have good experience of leading companies from on-premise virtual machines to Azure. You will be seasoned in taking data projects from inception to design, architecture and technical delivery, contributing to the engineering yourself. In addition to taking environments to the cloud, you will also have some exposure to AI and ML and be comfortable in assessing what tools and products are most appropriate for the business’ goals and evolution.

On the managerial side, you will have led teams and have experience with line-management. If you have inherited teams previously, that would also be ideal. You will have worked in an FCA regulated environment and be familiar with the necessary requirements to be compliant from a data perspective.

The journey you will take with this team will be to implement better monitoring, automation, migration to the cloud and then the adoption of AI and ML. As the business is c.200 people and the management team is strong and Agile, this could happen very quickly.

The technology department has a hybrid working setup. You will be given the flexibility to come into the office as you wish although, in the initial months, it will probably be appropriate to go to the office 2-3 times/week.

Salary: £100k - 125k + Bonus + Pension

We are looking for a skilled and motivated Business Intelligence Developer to join a data and analytics team. This role is ideal for someone with strong technical expertise in Power BI , Microsoft Business Intelligence tools , SQL , and DAX , who is passionate about transforming data into actionable insights.

As a BI Developer, you will be responsible for developing, maintaining, and enhancing business intelligence systems that support data-driven decision-making across the organisation. You will work closely with stakeholders to understand business requirements and deliver scalable, high-quality reporting and analytics solutions.

Key Responsibilities

• Design, develop, and maintain Business Intelligence solutions and reporting systems.
• Build interactive dashboards and reports using Power BI .
• Develop robust data models to support analytics and reporting requirements.
• Write efficient queries and stored procedures using SQL .
• Develop calculations and measures using DAX to support advanced analytics.
• Integrate data from multiple sources using Microsoft Business Intelligence tools .
• Ensure data accuracy, performance optimisation, and governance of BI solutions.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Support and enhance existing BI systems, ensuring reliability and scalability.

Key Skills & Experience

• Proven experience as a Business Intelligence Developer or similar BI/analytics role.
• Strong expertise in Power BI , including dashboard and report development.
• Extensive experience with SQL for querying, transformation, and optimisation.
• Strong knowledge of DAX for building complex calculations and measures.
• Experience with Microsoft Business Intelligence stack (e.g., SSIS, SSAS, SSRS).
• Solid understanding of data modelling , including star and snowflake schemas.
• Ability to translate business requirements into technical BI solutions.
• Strong analytical thinking and problem-solving skills.

Desirable Skills

• Experience working with data warehouses or data lake architectures.
• Knowledge of ETL processes and data integration.
• Experience with Azure data services or cloud-based BI platforms.
• Understanding of data governance and best practices in data management.

Role: TECHNICAL LEAD COLLIBRA

Location: Norwich, UK

Contract

Inside IR35

The Role

We are seeking a Senior Technical Lead with strong expertise in data governance, data quality, metadata management, and broader data management practices, with hands-on experience delivering solutions using the Collibra platform. The role involves defining solution architectures, leading configuration and integration of Collibra modules, implementing governance workflows, establishing metadata standards, and working closely with enterprise architects, data stewards, and platform teams.

Your responsibilities:

Solution Architecture & Design

• Lead the design and implementation of Collibra-based data governance solutions, including:
  • Data Catalog
  • Business Glossary
  • Policy & Standards
  • Data Quality integration
  • Operating models (roles, responsibilities, stewardships)
• Define Collibra architecture, metadata models, custom domains, and asset types.
• Create reusable frameworks for metadata ingestion, lineage, and governance workflows.

Collibra Configuration & Development

• Configure Collibra components, including:
  • Custom asset models
  • Attribute definitions
  • Relations and hierarchies
  • Workflows (BPMN-based)
  • Data quality dashboards & certification workflows
• Develop and maintain Collibra REST APIs, Connect integrations, and catalog crawlers.
• Implement metadata onboarding processes and automated connectors to cloud/on-prem data platforms.

Data Governance & Data Quality Leadership

• Collaborate with data governance councils, data stewards, and business SMEs to define:
  • Data standards
  • Business glossary terms
  • Data ownership & stewardship models
  • Data quality rules, SLAs, and data issue management workflows
• Ensure alignment with enterprise data governance frameworks and compliance requirements.

Integration & Metadata Lineage

• Implement automated metadata ingestion from:
  • Data lakes
  • ETL tools (Glue, Informatica, Talend, IICS)
  • Warehouses (Redshift, Snowflake, BigQuery)
  • BI tools (Power BI, Tableau)
  • Streaming sources (Kafka)
• Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
• Ensure metadata completeness, accuracy, and operational SLAs.

Your Profile

Essential skills/knowledge/experience:

• Data lakes
• ETL tools (Glue, Informatica, Talend, IICS)
• Warehouses (Redshift, Snowflake, BigQuery)
• BI tools (Power BI, Tableau)
• Streaming sources (Kafka)
• Build lineage diagrams across ETL pipelines, APIs, datasets, and downstream consumption layers.
• Ensure metadata completeness, accuracy, and operational SLAs.

Leading Hospitality Business 6 month FTC (Potential to go Perm) DOE: £55,000 - £65,000 Based: London A leading hospitality business is looking for an Interim Senior Finance Analyst to join their team on a temp to permanent basis. You will play a pivotal role in supporting the team during a period of exciting growth. This role owns and continuously evolves the Weekly Trade Pack, translating performance data into clear, actionable operational plans that drive results. It leads the full budgeting and forecasting cycle, leveraging robust scenario modelling to inform site openings and investment decisions. The position conducts targeted deep-dives across promotions, pricing, labour efficiency, day-part performance and channel mix to unlock growth opportunities and optimise performance. It evaluates ROI on new site openings, refurbishments and menu changes, ensuring projected benefits are tracked and fully realised. As an expert user of TM1, Snowflake, Comtrex and Fourth, the role also champions continuous improvement in data integrity and reporting processes. Working in close partnership with General Managers, Operations and Central Teams, it drives performance and delivers EBITDA growth, bringing a proactive, commercial and innovative mindset that constantly seeks better ways to improve results. The ideal candidate will be a qualified accountant (ACA/ACCA/CIMA/CAANZ) or equivalent, and must have experience within the hospitality industry. You must be immediately available for this role.

We are looking for a skilled and motivated Business Intelligence Developer to join a data and analytics team. This role is ideal for someone with strong technical expertise in Power BI, Microsoft Business Intelligence tools, SQL, and DAX, who is passionate about transforming data into actionable insights.

As a BI Developer, you will be responsible for developing, maintaining, and enhancing business intelligence systems that support data-driven decision-making across the organisation. You will work closely with stakeholders to understand business requirements and deliver scalable, high-quality reporting and analytics solutions.

Key Responsibilities

• Design, develop, and maintain Business Intelligence solutions and reporting systems.
• Build interactive dashboards and reports using Power BI.
• Develop robust data models to support analytics and reporting requirements.
• Write efficient queries and stored procedures using SQL.
• Develop calculations and measures using DAX to support advanced analytics.
• Integrate data from multiple sources using Microsoft Business Intelligence tools.
• Ensure data accuracy, performance optimisation, and governance of BI solutions.
• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
• Support and enhance existing BI systems, ensuring reliability and scalability.

Key Skills & Experience

• Proven experience as a Business Intelligence Developer or similar BI/analytics role.
• Strong expertise in Power BI, including dashboard and report development.
• Extensive experience with SQL for querying, transformation, and optimisation.
• Strong knowledge of DAX for building complex calculations and measures.
• Experience with Microsoft Business Intelligence stack (e.g., SSIS, SSAS, SSRS).
• Solid understanding of data modelling, including star and snowflake schemas.
• Ability to translate business requirements into technical BI solutions.
• Strong analytical thinking and problem-solving skills.

Desirable Skills

• Experience working with data warehouses or data lake architectures.
• Knowledge of ETL processes and data integration.
• Experience with Azure data services or cloud-based BI platforms.
• Understanding of data governance and best practices in data management.

A successful FTSE-listed organisation with a friendly, close-knit culture is looking for a Senior Data Engineer to help shape and deliver its evolving data platform.

This is a hands-on, high-impact role in a smaller organisation where you will act as both a senior engineer and strategic data partner, designing solutions that support both operational and long-term business goals.

You will play an important role in the company s migration to Microsoft Fabric, while continuing to build and optimise its existing SQL Server-based data warehouse environment.

While primarily a backend engineering role, you will also support reporting via SSRS/Microsoft Power BI, with an increasing focus on AI-driven capabilities over time.

As the Senior Data Engineer, you will work closely with the Solutions Architect and collaborate with teams across the business, with occasional travel to France and Germany. This opportunity suits someone with in-depth SQL experience who is looking to work with modern tools like Microsoft Fabric.

Essential Skills

• Strong SQL Server experience (T-SQL, SSIS, SSRS, stored procedures, functions, triggers)
• Data warehouse architecture, build and maintenance
• Excellent communication skills and ability to gather requirements from non-technical stakeholders at all levels
• Degree in Computer Science or STEM subject
• Comfortable working 4 days per week onsite in Vauxhall

Desirable

• Microsoft Fabric, Azure Synapse, Azure Data Factory, Snowflake, Databricks
• Python or any other relevant language
• Experience with tools such as Power BI, Qlik or Tableau

The role offers a package of £64k+, plus a bonus of up to 15%, along with a generous pension, 28 days’ holiday, private medical insurance, permanent health insurance, study support, and a modern office with an onsite gym.

If your experience aligns, apply with an up-to-date CV as soon as possible, as this is expected to be a popular opportunity.

A successful FTSE-listed organisation with a friendly, close-knit culture is looking for a Senior Data Engineer to help shape and deliver its evolving data platform. This is a hands-on, high-impact role in a smaller organisation where you will act as both a senior engineer and strategic data partner, designing solutions that support both operational and long-term business goals. You will play an important role in the company’s migration to Microsoft Fabric, while continuing to build and optimise its existing SQL Server-based data warehouse environment. While primarily a backend engineering role, you will also support reporting via SSRS/Microsoft Power BI, with an increasing focus on AI-driven capabilities over time. As the Senior Data Engineer, you will work closely with the Solutions Architect and collaborate with teams across the business, with occasional travel to France and Germany. This opportunity suits someone with in-depth SQL experience who is looking to work with modern tools like Microsoft Fabric. Essential Skills Strong SQL Server experience (T-SQL, SSIS, SSRS, stored procedures, functions, triggers) Data warehouse architecture, build and maintenance Excellent communication skills and ability to gather requirements from non-technical stakeholders at all levels Degree in Computer Science or STEM subject Comfortable working 4 days per week onsite in Vauxhall Desirable Microsoft Fabric, Azure Synapse, Azure Data Factory, Snowflake, Databricks Python or any other relevant language Experience with tools such as Power BI, Qlik or Tableau The role offers a package of £64k+, plus a bonus of up to 15%, along with a generous pension, 28 days' holiday, private medical insurance, permanent health insurance, study support, and a modern office with an onsite gym. If your experience aligns, apply with an up-to-date CV as soon as possible, as this is expected to be a popular opportunity

Tech Lead - Asset Management Data Platform (Pricing & Quant Data)

Permanent London (Hybrid - 3 days/week onsite)

Up to 140,000 + bonus + excellent benefits

Lorien is partnering with a leading UK investment and asset management organisation to hire a hands-on Tech Lead to help build and evolve a modern cloud data platform supporting front-office investment activity. This is a high-impact role in a London-based team that works closely with the business, shaping how critical pricing, hedging and investment datasets are produced, governed and shared.

This role involes leading technical design and delivery from the front, mentoring engineers, and setting engineering standards (without formal line management). You’ll be trusted to operate with high autonomy and drive delivery day-to-day.

The opportunity (what you’ll be working on)

• Building and running a greenfield/early-stage Snowflake data platform that acts as a data hub for the asset management function
• Delivering high-quality, timely data for pricing workflows (ensuring the right data is available for pricing, and distributed correctly once prices are produced)
• Supporting asset & liability matching and hedging MI use-cases by providing trusted datasets to investment stakeholders and quant teams
• Modernising how data is served to consumers, including reworking APIs/data services to use more timely inputs and improve pricing accuracy
• Helping enable expansion of in-house capability to trade across multiple asset classes, by strengthening data foundations and delivery

What you’ll do

• Lead technical design and implementation across data services, APIs, and platform components
• Set and uphold engineering standards (patterns, code quality, reviews, testing approach)
• Drive modern delivery practices: CI/CD, test automation, DevOps ways of working
• Ensure solutions are secure, scalable, and production-ready in a regulated environment
• Mentor and support engineers through pairing, coaching, workshops and code reviews
• Work directly with front-office / investment stakeholders to translate outcomes into technical delivery
• Operate independently, owning your technical backlog and delivery plan with minimal day-to-day oversight

What they’re looking for (candidate profile)

Essential experience

• Strong hands-on technical leadership in a front-office investment/trading environment
• Background in Investment Banking, Asset Management, or Wealth Management, ideally where the organisation trades and manages its own funds
• Proven ability to deliver data-intensive platforms or services used by front-office stakeholders (trading, portfolio, risk, quants)
• Strong engineering capability across Python, SQL, Snowflake, and AWS (modern cloud patterns; serverless experience is a strong advantage)
• Comfortable owning solution design, making decisions, and driving delivery with high autonomy
• Excellent stakeholder communication skills (can influence, align, and keep delivery moving)

Desirable

• Experience with pricing / market data, ALM concepts, hedging MI, or data supplied to quant/model users
• Strong solution design skills (end-to-end data/service design)
• Experience working across multiple teams / scaled delivery environments
• Exposure to event-driven / serverless architectures and modern data engineering patterns

Why this role stands out

• Modern stack: Snowflake + AWS (serverless), building on a new platform with real scope to shape engineering direction
• Autonomy and trust-based culture: strong ownership, ability to implement what you think is best
• Front-and-centre London team build-out: a key hire helping establish and grow a new capability close to the business
• Meaningful domain challenges: pricing, hedging, investment datasets - real-world impact and complexity

Working pattern & package

• London hybrid: typically 3 days per week onsite
• Salary up to 140,000 (plus bonus)
• Strong benefits package (details shared during process)
• Open to flexible working discussions (including part-time/job share in principle)

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.