Salary: £55 - 72K + Benefits
Location: London or Manchester (aligned to office for client on-site requirements)
Working Pattern: Hybrid / On-site depending on client needs
Security Clearance: DV Clearance required - Can Start With Active SC

You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams.

The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens.

This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments.

Role Responsibilities

Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads.

Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach.

Collaborate closely with data scientists to enable effective use of data for analytics and machine learning.

Build and operate cloud-based solutions, with a strong focus on AWS services.

Work with messaging, streaming, or data flow technologies to support real-time and batch data processing.

Contribute to infrastructure and platform automation using Infrastructure as Code.

Participate in agile ceremonies, technical design discussions, and code reviews.

Ensure solutions meet security, performance, and reliability requirements within public sector environments.

What You Will Bring to the Team

A strong interest in data, particularly data engineering, data science, or machine learning.

A solid technical background, with experience in Java, Python, TypeScript, or similar languages.

Experience developing software using TDD or a strong willingness to adopt TDD practices.

Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams.

Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders.

A proactive mindset with attention to detail and a commitment to quality.

Desirable Skills and Experience

Senior experience working with cloud platforms, ideally AWS.

A strong Linux background.

Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools.

Experience using Infrastructure as Code tools such as Terraform or CloudFormation.

Previous experience working in a consultancy or public sector delivery environment.

Familiarity with secure or regulated environments.

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 highly successful, financial services business based in the City are looking for a technically capable Finance Systems Analyst to join them on a 12 month FTC.

This is a technical role and as the Finance Systems Analyst you will be responsible for developing and maintaining internal and external financial reports, preparing detailed financial records, and reviewing and analysing current and future reporting needs across the wider finance function. Key responsibilities will include:

Finance Systems Design; build, and maintain financial and operational reports using Oracle Analytics Cloud (OAC), Oracle BI, and Smart View, based on user requirements.

Deliver ad-hoc reporting and analysis to support the Finance Team’s decision-making needs.

Maintain and update reporting tables, views, and replications within the Autonomous Data Warehouse (ADW) to ensure data accuracy and availability.

Perform detailed data analysis to identify trends, validate data integrity, and support business insights.

Lead and participate in ad-hoc data cleansing and data-fixing initiatives, such as supplier merges, multicurrency balance corrections, and prepayment adjustments.

Support the development and enhancement of Finance systems, contributing to testing, design input, and continuous improvement initiatives.

Provide reporting and system support via the Finance Helpdesk, troubleshooting user issues and resolving reporting queries in a timely manner.

The ideal candidate will have previous experience of supporting the maintenance of accounting systems. Strong knowledge of Oracle Fusion ERP (Finance modules) is essential. Advanced Smart View skills, especially for financial reporting, variance analysis, budgeting, and forecasting templates is also required.

Other key experiences and skills required:

Solid SQL skills for querying, analysing, and troubleshooting data within Fusion, ADW or similar data databases/warehouses.

Strong proficiency in Oracle Analytics Cloud (OAC) for report building, dashboards, and data modelling.

Hands-on experience with Oracle BI / OTBI including subject area analysis and custom report creation.

Understanding of ADW tables, views, and data structures

Ability to analyse large and complex datasets, identify patterns, and produce insights.

The salary on offer for this role is up to £80,000 pro rata and hybrid working is offered.

Lead AWS Data Engineer | Birmingham | Finance | AWS | Java | Outside IR35 | Contract | 12 Months Opus is partnered with financial services client to deliver a major programme of work. You’ll join an established engineering group, working alongside internal teams to build a new reporting workflow, upgrade an existing pipeline, and lead a full data‑sourcing uplift across multiple reporting workflows. The team will also be responsible for helping upgrade the framework for two critical internal workflows. This role will require you to be on site in either the London or Birmingham office 5 days per week, please only apply if you hit this criteria. Required Experience Strong background in data engineering within distributed data environments Hands-on expertise with AWS, Spark, Glue, and Snowflake Experience building and optimising data pipelines & reporting workflows Ability to work closely with internal engineering and controls teams Experience upgrading or modernising existing workflows and frameworks For Lead-level: prior experience leading engineering teams or workstreamsTech Stack AWS (Glue, S3, Lambda, Step Functions) Apache Spark Snowflake Java if you are interested in this role then please apply here or email me your most recent and up to date CV, along with your availability  to (url removed) Lead AWS Data Engineer | Birmingham | Finance | AWS | Java | Outside IR35 | Contract | 12 Months

Stealth AI Startup | London | Hybrid We’re hiring for a fast-growing AI startup building a cloud-native analytics platform that transforms large volumes of LLM output into structured, queryable intelligence for businesses and brands. The platform is fully AWS-native, heavily event-driven, and built for scale from day one. The team actively uses AI agents and automation across both engineering and product workflows, not as a gimmick, but as a core operating principle. We’re looking for a Senior Software Engineer to help shape, build, and run the core cloud and data foundation of the platform. What You’ll Be Doing * 4+ years of experience * You’ll take ownership of significant parts of the cloud and data layer, including: * Designing and operating AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB) * Building robust ETL / ELT pipelines that transform raw LLM outputs into structured, analytics-ready datasets * Designing event-driven workflows and distributed processing systems * Managing containerised services using Docker and ECS * Implementing CI/CD pipelines and infrastructure-as-code practices * Establishing monitoring, alerting, and reliability standards across production workloads * Optimising system performance, cost efficiency, and scalability * Embedding security, IAM design, and least-privilege principles from the ground up * Actively leveraging AI agents and automation tools to improve engineering workflows and system design * This is a hands-on role. You’ll be designing, building, debugging, and shipping. Not just overseeing. What We’re Looking For * Strong production experience with AWS (especially ECS, Lambda, Step Functions, S3, EventBridge) * Solid Docker and container-native deployment experience * Python for data processing, automation, or backend services * Experience building and maintaining data pipelines or data lake architectures * Infrastructure-as-code (Terraform, CDK, or CloudFormation) * CI/CD and production engineering mindset * Comfort owning distributed systems and running real workloads in production * Genuine curiosity about AI tools, LLM APIs, and automation-driven engineering Why Join * Real ownership of core cloud and data architecture * Work at the intersection of cloud infrastructure, data engineering, and applied AI * Modern AWS-native, event-driven system with meaningful scale * Small, senior team operating in a high-trust, low-bureaucracy environment * Direct impact on a fast-growing AI product

UK-Based | Hybrid Working SC Clearable Required Permanent Meraki are working on behalf of a high-growth digital consultancy delivering mission-critical data platforms across the UK public sector. We’re looking for a Senior Data Engineer to design, build and operate modern data pipelines and analytics platforms that power secure, large-scale digital services. This is a hands-on, delivery-focused role within multidisciplinary agile teams. You’ll play a key part in enabling organisations to collect, process and use data effectively — supporting operational reporting, analytics and meaningful insight across complex environments. This role would suit someone who enjoys solving well-defined problems independently, applying strong engineering judgement, and contributing to continuous platform improvement — rather than being tied to one specific technology stack or cloud vendor. The Role You will: * Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources * Develop analytics-ready data models to support reporting and operational insight * Support the full data lifecycle (retention, archiving, decommissioning) in line with governance requirements * Apply data quality, testing and monitoring best practices * Translate user and business needs into practical, well-engineered data solutions * Contribute to shared data standards, documentation and data dictionaries * Collaborate with cross-functional delivery teams to drive improved data outcomes Technical Experience You’ll bring strong commercial experience across several of the following: * Modern data engineering patterns (batch and event-driven pipelines) * Strong SQL and at least one data-focused programming language (e.g. Python) * Data integration, transformation and orchestration tooling * Analytical data platforms (data warehouses, lakehouse architectures) * Applying DevOps and software engineering practices to data (CI/CD, version control, automated testing) * Working across cloud platforms in a vendor-agnostic way * Contributing to open-source tooling where appropriate What We’re Looking For * Operates confidently at senior level * Comfortable working independently within defined delivery scopes * Strong communicator — able to explain data concepts to both technical and non-technical stakeholders * Collaborative, pragmatic and delivery-focused * Comfortable in customer-facing environments * Understands secure-by-design and government data principles Security Clearance Due to the nature of the work, candidates must: * Be eligible for SC Clearance * Have lived continuously in the UK for the past 5+ years * Have the right to work in the UK without sponsorship What’s on Offer Competitive salary with annual review Employer pension contribution starting at 5%, increasing with tenure Group life assurance Genuine hybrid working + home setup allowance 25 days annual leave + bank holidays (with buy/sell option) Fully funded professional certifications (AWS, GCP, Agile etc.) 5 days paid study leave + £500 annual personal development fund 1-2-1 coaching and structured career progression Private medical insurance Cycle to Work scheme 2 paid volunteering days per year Inclusive Hiring We strongly encourage applications from individuals who may not meet every single requirement. If you’re excited by the opportunity but don’t tick every box, we’d still love to hear from you

Data Engineer Opportunity, DV-cleared only London Manchester Bristol A progressive, leading-edge UK consulting and technology organisation is hiring Data Engineers to deliver mission-critical work across defence and security programmes, building modern data platforms and production-grade pipelines that enable better decisions at pace. Active DV clearance is essential, we are seeking DV cleared candidates only. The role You’ll design and deploy production-grade data pipelines, from ingestion through to consumption, within a modern big data architecture. Work is delivery focused and delivered using agile engineering practices. Typical responsibilities • Build and operate robust pipelines across ingestion, processing, and consumption • Use scripting, APIs, and SQL to extract, transform, and curate data • Process large structured and unstructured datasets, integrating multiple sources • Collaborate with stakeholders and delivery teams to drive outcomes Core skills (indicative) • Production pipeline design and deployment experience • Strong engineering capability with Python, SQL, plus big data tooling (e.g., Spark, and Java/Scala where relevant • AWS, Azure, GCP Working pattern Hybrid working, with the team on client site or in the office a minimum of two days per week. Actual time and location will vary by role or assignment

Location: London

Employment Type: Full-time

Salary: £80k per annum + 10% bonus & bens

Sector: Fintech / Payments

Overview

We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You’ll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform’s evolution.

This is a hands-on role where you’ll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team’s velocity.

Key Responsibilities

Design, develop, and maintain data models to support analytical and operational use cases.

Write efficient, production-grade SQL to build data pipelines and transformations.

Develop and maintain data workflows and automation scripts in Python .

Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.

(Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform .

Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.

Skills & Experience

5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer .

Proven expertise in SQL and building complex data models.

Strong proficiency in Python for data processing, ETL, and workflow automation.

Experience with cloud data platforms (Snowflake experience highly desirable).

Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.

Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.

Nice to Have

Experience with modern data stack tools (e.g., dbt, Airflow, etc.).

Understanding of CI/CD pipelines and data infrastructure automation.

Familiarity with data governance, security, and best practices in a cloud environment.

TPBN1_UKTJ

Directorate: Strategy & Innovation
Contract Type: 18 Months Fixed Term Contract
Hours: 36
Salary: 48,003 - 53,172
Location: Colindale
Closing Date: Midnight March 9th 2026

About Barnet Council
Barnet is a borough with much to be proud of. Our excellent schools, vibrant town centers, vast green spaces and diverse communities all help make it a great place to live and work. As a council we want to build on these strengths as we move into the future. We are growing and developing as an organisation to meet the challenges facing our borough and we are committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do.

About the role
This is an exciting time to join Barnet as we grow our Digital, Data and Technology (DDaT) capabilities and accelerate our digital transformation journey. We’re investing in smarter services, better use of data, modern technology, and you’ll play a key part in shaping this future.

We’re looking for a Data Engineer to join our Insight & Intelligence Hub, working with a talented team to help design, build and maintain the data infrastructure that powers our analytics, AI and insight functions.
You’ll work across the organisation to integrate complex datasets, improve data quality, and create robust data pipelines that enable our analysts and data scientists to deliver highvalue insight for services and residents.
This is a handson technical role where you’ll work with modern cloud technologies, largescale data systems and cuttingedge tools to support predictive analytics, machine learning initiatives and enterprise reporting.
If you’re excited by engineering challenge, modern data platforms and solving realworld problems, you’ll be a great fit.
This is a hybrid role. You will be expected to attend monthly in-person team days in our Colindale office.
We also come into the office to meet service stakeholders, work together on collaboration, discovery and user testing sessions and department days.
Please click here to download the Job description for this role.

About you
You’re an experienced and adaptable data engineering professional who enjoys creating welldesigned, efficient and reliable data solutions. You’re comfortable working with complex systems, experimenting with new tools and collaborating with colleagues across technical and nontechnical teams.

You will bring:

• Strong handson experience with modern data engineering tools and practices, including ETL/ELT, data warehousing and data modelling.
• Expertise in cloud data platforms, ideally Azure services such as Data Factory, Synapse, Databricks, Spark or Snowflake.
• Proficiency in Python, SQL and other relevant languages for building pipelines and enabling automation.
• Experience building and managing production data services, integrating data from multiple systems, and improving data quality.
• Understanding of data governance, security, information management and UK GDPR.
• The ability to communicate complex technical concepts clearly for nonspecialist audiences.
• A collaborative and proactive approach, with confidence leading projects, supporting partners and driving continuous improvement.
  If you enjoy solving complex data challenges and playing a leading role in a growing data function, this is an excellent opportunity.
  In this role, you will:
• Develop and maintain the council’s Microsoft Azure Data Platform, supporting cloudready, scalable analytics.
• Build and optimise data pipelines, APIs and integrations across onpremise, cloud and supplierhosted systems.
• Extract, clean, transform and combine data from a wide range of operational systems to create highquality datasets for insight and machine learning.
• Work with data scientists to design and maintain pipelines for AI/ML models, including supporting feature engineering, labelling and largescale data flows.
• Automate manual data processes to improve speed, reliability and accessibility of insight.
• Lead data engineering projects, including working with external suppliers and supporting more junior colleagues.
• Implement and maintain data lakehouse architectures, master data management and metadata repositories.
• Ensure that data workflows comply with security, privacy and governance standards, including anonymisation where required.
• Optimise the performance of code, pipelines and data systems, resolving issues, bugs and outages.
• Contribute to the development of data strategy, standards and reusable engineering frameworks across the Hub.
• Work with colleagues across ICT, Connected Places and service teams to join up data and support emerging technologies (e.g., IoT, geospatial, AI).
• Support the creation of visualisations and reusable analytical products that enhance decisionmaking.
  You’ll be part of a forwardlooking team that values continuous learning, experimentation and innovation, helping Barnet fully unlock the power of its data.

What we offer

• 31 days annual leave, plus public and bank holidays
• Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents
• Work-life balance options may include hybrid working, flexitime, job share, home working, part-time
• A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more
• Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership
• Excellent training and development opportunities
• Employee well- being training programs including confidential employee assistance
  How to apply
  Read the job description and person specification before clicking ‘Apply’ to commence the online application form. If you would like any further information about the role before applying, please contact James Rapkin, Head of Organisational Insight & Intelligence,

Barnet Council is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff and volunteers to share this commitment. Barnet operates stringent safer recruitment procedures, this may include AI Detection Screening, Biometric ID/Right to Work Checks, Qualification and Registration Checks, Up to 6 years of Employment Data and Insights to Accelerate Screening (Konfir), Up to 5 years of Employment History References, DBS (Disclosure & Barring Service) Checks, Credit Checks and Social Media, Sanctions and Occupational Health Screening.

To deliver Barnet Council’s commitment to equality of opportunity in the provision of services, all staff are expected to promote equality in the workplace and in the services the Council delivers. As such we value diversity and welcome applications from all backgrounds.
Barnet Council embraces all forms of flexible working (including part-time, compressed hours, and hybrid working) and is committed to offering employees a healthy work-life balance. Candidates are encouraged to talk about relevant requirements and preferences at interview. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.

Barnet Council is a Disability Confident Committed Employer. We welcome and encourage job applications of all abilities. If you require any reasonable adjustments in the application or interview, please contact the lead contact on this advert. We will make reasonable adjustments to make sure our disabled applicants and those with health conditions are supported throughout our recruitment process. We support the access to work scheme, further details are available at (url removed)

All posts with the council are subject to a probationary period of six months, during which time you will be required to demonstrate to the council satisfaction your suitability for the position in which you will be employed.

Due to the high number of applications that are received for some posts we may close vacancies before the stated closing date if sufficient number of applications are received. Therefore, please apply as soon as possible.

Please ensure you regularly check the email account (including JUNK MAIL folders) that you use to submit your application, as any further communication regarding your application will be sent electronically. Should you not hear from us within four working weeks of the closing date for this post, then regretfully in this instance, you have not been shortlisted.

Directorate: Strategy & Innovation
Contract Type: 18 Months Fixed Term Contract
Hours: 36
Salary: 62,766 - 69,984
Location: Colindale
Closing Date: Midnight March 9th 2026

About Barnet Council
Barnet is a borough with much to be proud of. Our excellent schools, vibrant town centers, vast green spaces and diverse communities all help make it a great place to live and work. As a council we want to build on these strengths as we move into the future. We are growing and developing as an organisation to meet the challenges facing our borough and we are committed to working with partner organisations and residents to make Barnet even better. As an organisation, our staff are committed to Our Values: Learning to Improve, Caring, Inclusive, Collaborative - which drive everything we do.

About the role
This is an exciting time to join Barnet as we grow our Digital, Data and Technology (DDaT) capabilities and accelerate our digital transformation journey. We’re investing in smarter services, better use of data, modern technology, and you’ll play a key part in shaping this future.

We’re looking for an exceptional Insight & Intelligence Manager to play a leading role in shaping how we use data, analytics and emerging technologies to improve outcomes for our residents.
This is a key leadership role within our Insight & Intelligence Hub, responsible for driving data informed decision-making across the organisation, developing advanced analytical solutions, and guiding a talented team of analysts and data scientists.
You’ll blend technical excellence with strategic insight, helping Barnet unlock the full value of its data through innovative approaches, strong stakeholder relationships, and a commitment to building organisational data literacy.

This is a hybrid role. You will be expected to attend monthly in-person team days in our Colindale office. We also come into the office to meet service stakeholders, work together on collaboration, discovery and user testing sessions and department days.
Please click here to download the Job description for this role.
You’re an experienced analytics or data science professional with a track record of delivering high impact insight. You combine technical depth with the ability to translate complex concepts into actionable recommendations for senior leaders.
You’ll bring:

• Expertise in advanced analytics, data science, machine learning and data engineering.
• Experience designing secure, scalable data solutions using platforms such as Azure, Data Factory, Synapse, Databricks or Fabric.
• Strong proficiency in Python, SQL and/or R, and confidence in developing data pipelines and operationalising models.
• Excellent communication and stakeholder engagement skills, with the ability to influence decisions and tell compelling data stories.
• Experience leading, coaching or developing analysts or data scientists.
• A passion for driving data culture, improving data literacy, and championing ethical, secure use of data.
  In this role, you will:
• Lead the design and delivery of sophisticated analytical, data science and AI projects.
• Build, maintain and optimise data pipelines, analytical models and data architecture.
• Develop and operationalise machine learning solutions, applying MLOps best practice.
• Produce high-quality, accessible dashboards and tools using platforms such as Power BI.
• Work closely with senior leaders to shape strategic insight, policy development and service transformation.
• Champion best practice in data quality, governance, privacy and information security.
• Develop and mentor a team of analysts and data scientists, supporting high performance and continuous learning.
• Strengthen cross council collaboration, working with ICT, service leads, data engineers and external partners.
• Support delivery of the Council’s DDaT Strategies
  If you thrive in a collaborative environment, enjoy solving complex problems, and want to make a tangible difference to public services, we’d love to hear from you.
  What we offer
• 31 days annual leave, plus public and bank holidays
• Access to the Local Government Pension Scheme, which provides a valuable guaranteed income in your retirement together with security for your dependents
• Work-life balance options may include hybrid working, flexitime, job share, home working, part-time
• A vast range of lifestyle discounts from major retailers, supermarkets, energy suppliers and more
• Broad range of payroll benefits including cycle to work, eye care vouchers, travel and gym membership
• Excellent training and development opportunities
• Employee well- being training programs including confidential employee assistance
  How to apply
  Read the job description and person specification before clicking ‘Apply’ to commence the online application form. If you would like any further information about the role before applying, please contact James Rapkin, Head of Organisational Insight & Intelligence,

Barnet Council is committed to safeguarding and promoting the welfare of children, young people, and vulnerable adults and expects all staff and volunteers to share this commitment. Barnet operates stringent safer recruitment procedures, this may include AI Detection Screening, Biometric ID/Right to Work Checks, Qualification and Registration Checks, Up to 6 years of Employment Data and Insights to Accelerate Screening (Konfir), Up to 5 years of Employment History References, DBS (Disclosure & Barring Service) Checks, Credit Checks and Social Media, Sanctions and Occupational Health Screening.

To deliver Barnet Council’s commitment to equality of opportunity in the provision of services, all staff are expected to promote equality in the workplace and in the services the Council delivers. As such we value diversity and welcome applications from all backgrounds.
Barnet Council embraces all forms of flexible working (including part-time, compressed hours, and hybrid working) and is committed to offering employees a healthy work-life balance. Candidates are encouraged to talk about relevant requirements and preferences at interview. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.

Barnet Council is a Disability Confident Committed Employer. We welcome and encourage job applications of all abilities. If you require any reasonable adjustments in the application or interview, please contact the lead contact on this advert. We will make reasonable adjustments to make sure our disabled applicants and those with health conditions are supported throughout our recruitment process. We support the access to work scheme, further details are available at (url removed)

All posts with the council are subject to a probationary period of six months, during which time you will be required to demonstrate to the council satisfaction your suitability for the position in which you will be employed.

Due to the high number of applications that are received for some posts we may close vacancies before the stated closing date if sufficient number of applications are received. Therefore, please apply as soon as possible.

Please ensure you regularly check the email account (including JUNK MAIL folders) that you use to submit your application, as any further communication regarding your application will be sent electronically. Should you not hear from us within four working weeks of the closing date for this post, then regretfully in this instance, you have not been shortlisted.

SAP Data Migration Consultants

Remote / Hybrid

75,000 - 100,000 + Bonus, benefits!

We have a number of opportunities available within Data Migration

The role:

• Leading the data stream on S/4HANA programmes
• Providing advice and guidance to clients
• Delivering end to end S/4HANA data migration projects

Experience / skills required:

• Experience / knowledge of working, at least 3 end to end S/4HANA projects
• A depth of consulting / functional experience
• Experience working with Data Migration Cockpit
• Strong interpersonal communication skills

Candidates will need to hold a British Passport - Needed for Security Clearance checks

To be considered for this Data Migration consultant opportunity, please click ‘apply’ or get in touch with Shannen Smyth at Harrington Boyd.

Are you an SAP Professional but this role doesn’t quite fit you? Please don’t hesitate to get in touch with us for a confidential chat about how we can secure your Perfect SAP role.

If you have not received a response within 5 working days, please assume your application has been unsuccessful.

Location: Hornton Street, W8 7NX
Start Date: ASAP
Contract Duration: 3+ Months
Working Hours: Mon Fri, 09 00
Pay Rate: £331.36 Per day
Job Ref: (phone number removed)

Job Responsibilities

• Analyse and interpret data to support decision-making across departments.
• Maintain and manage datasets using the CCIS database.
• Produce clear reports and visualisations for internal stakeholders.
• Ensure data accuracy, consistency, and compliance with council standards.
• Support process improvements through data-driven insights.
• Collaborate with teams to deliver timely and accurate information.
• Maintain confidentiality and adhere to council policies.

Person Specification
Must-Have Requirements

• Proven experience as a data analyst or in a similar analytical role.
• Proficiency in MS Office and other relevant ICT tools.
• Experience working with the CCIS database.
• Strong numeracy and analytical skills.
• Excellent written and verbal communication skills.
• Eligible to work in the UK.

Nice-to-Have Requirements

• Experience in a local government or public sector environment.
• Familiarity with data visualisation tools and reporting software.
• Knowledge of council policies, procedures, and compliance standards.

DISCLAIMER: By applying for this vacancy, you consent to your personal information being shared with our client and any relevant third parties we engage with, for the purpose of assessing your suitability specific organizations or hireSrs to whom you do not wish your details to be disclosed.

Hybrid: 1-2 days per week in the office (London)
Permanent
£100k-£150k DOE + Bonus + Benefits

Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI. We are supporting them in the search for an experienced Lead Data Scientist to shape, scale and lead their enterprise-wide AI capability.

This is a high-impact, strategic role with responsibility for defining the direction of Data Science and AI across the organisation. You will lead the delivery of production-grade ML and GenAI solutions, build a high-performing specialist team, and partner closely with senior stakeholders to drive measurable business value.

What You’ll Be Doing

• Leading the design, development and productionisation of Machine Learning, AI and GenAI solutions across the business.
• Defining technical standards, best practices and governance for Data Science and MLOps.
• Identifying and prioritising high-impact use cases in partnership with Wealth, Enablement and Technology teams.
• Building, mentoring and developing a high-performing Data Science team.
• Embedding modern MLOps practices including CI/CD, model monitoring, feature stores and version control.
• Working closely with Data Engineering, Architecture and Operations teams to ensure scalable, secure deployment.
• Acting as a senior technical authority and thought leader in advanced analytics and AI.
• Championing innovation, experimentation and continuous improvement in AI and analytics delivery.

Experience Required

• Proven experience in Head of or lead-level Data Science, AI or Machine Learning roles within enterprise environments.
• Strong Python and SQL skills, with experience developing production-grade analytical solutions.
• Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake).
• Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow).
• Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases).
• Strong knowledge of MLOps tooling and practices (MLflow, CI/CD, containerisation, monitoring).
• Experience leading, mentoring and developing technical teams.

If you’d like to learn more, please contact Jacob Ferdinand at

£90,000 - £95,000 + Benefits

Remote - Once or twice a month in the office

The Business

A large, UK-based property organisation operating at a national scale. They are focused on delivering and managing long-term community services and initiatives and have a strong emphasis on social impact, sustainability and modern digital transformation.

The Role

The Principal Data Engineer will be a senior technical leader within a growing data engineering team.

You ll help shape engineering strategy, architecture, and best practices across multiple product areas, supporting a data mesh approach while ensuring consistency and good governance.

This is a hands-on role that blends technical expertise with mentoring, guidance, and collaboration across teams.

Core technologies include:

Google Cloud Platform (BigQuery, Dataflow, Dataproc, Data Fusion, Data Streams, Cloud Functions, Airflow/Composer), SQL, Python, CI/CD tooling

About you

You’ll have

• 10+ years experience in Data Engineering
• Experience operating in a Lead or Principal Engineer capacity
• Strong understanding of Data Governance principles.
• Significant experience with cloud data platforms (specifically GCP) and possibly exposure to Azure / AWS
• Strong proficiency in SQL and Python a
• Strong track record of mentoring and technical leadership
• Background working in Agile / Scrum / SDLC environments

Requirements added by the job poster

No need for visa sponsorship

• Authorised to work in United Kingdom

(ILR, Tier 2 dependent visa and EU Settlement Scheme considered)

Happy to consider travel to the Lancashire region once or twice a month

Investment Data Analyst
Hybrid / London, SE1

Are you a detail-oriented data professional looking to make a visible impact within the investment management sector? This is a unique opportunity to step into a pivotal role where you won’t just be managing data, you’ll be helping to build the very foundations of a new data capability within an asset management environment.

In this role, you will sit at the heart of Investment, Operations, and Technology workflows. You will be the guardian of data integrity, ensuring that high-quality information underpins critical pension fund reporting, portfolio management, and NAV calculations. If you enjoy solving complex data puzzles and building strong relationships with both internal teams and external suppliers, this is the perfect career move for you.

Your Responsibilities

• Data Integrity & Flow: You will monitor and validate time-critical data feeds from custodians, partner funds, and fund managers, identifying and resolving any anomalies or “data breaks” to ensure seamless downstream processes.
• Supplier & Stakeholder Management: You will act as the key bridge between data suppliers and internal teams, resolving quality issues and communicating data trends clearly to stakeholders at all levels.
• Quality Assurance & Root-Cause Analysis: Beyond just fixing errors, you will take ownership of recurring issues, driving root-cause analysis and helping to develop data quality metrics and dashboards.
• Building the Future: You will contribute directly to designing scalable data management processes and embedding a new data quality framework.

What You Bring to the Team

• Investment Management Expertise: Proven experience within an Investment Manager, Pension Fund, or Fund Administration environment, featuring a deep understanding of investment and operations data.
• Strong Domain Knowledge: A clear understanding of how data quality impacts Performance Reporting, Net Asset Value (NAV) and Investment Outcomes.
• Technical Proficiency: Hands-on experience performing data quality checks, reconciliations, and investigating complex data discrepancies.
• Outcome-Focused Mindset: A clear understanding of how data quality impacts Performance/NAV and a proactive approach to reducing operational burdens.
• Communication Skills: The ability to own relationships with external service providers and collaborate effectively with internal investment and tech teams.
• Bonus Points: We would love to hear from you if you have experience with Microsoft Purview, Azure API Management, or implementing data governance frameworks.

Flexible Contract Options
Our client is looking for the best talent and is open to two engagement routes:

• 12-Month Fixed Term Contract (FTC): 65,000 - 75,000 per annum + Benefits (e.g. 26-28 days holiday allowance)
• 12-Month Day Rate Contract: Competitive daily rates considered on an individual basis (Inside IR35).

Ready to Apply? If you are a delivery-focused Data Analyst ready to help shape a new function in the Pension Investment space and ensure data excellence, we want to hear from you.

If you’ve held any of these roles or used these technologies/skills, this role could be a great fit: Investment Data Analyst, Pension Fund Analyst, Asset Management Data Specialist, Operations Data Analyst, Fund Data Controller, LGPS Data Analyst, Microsoft Purview, NAV Data Analyst, or Investment Operations Specialist.

Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn’t right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy.

Location: London

Employment Type: Full-time

Salary: 80k per annum + 10% bonus & bens

Sector: Fintech / Payments

Overview

We are looking for a skilled Senior Data Engineer with a strong foundation in data analytics to join our growing team. The ideal candidate will have previously worked as a Data Analyst and since transitioned into a more engineering-focused role. You’ll help us scale our data infrastructure, design and build robust data models, and contribute directly to our data platform’s evolution.

This is a hands-on role where you’ll be expected to hit the ground running, contribute to ongoing projects with minimal hand-holding, and help us maintain (and improve) the current team’s velocity.

Key Responsibilities

• Design, develop, and maintain data models to support analytical and operational use cases.
• Write efficient, production-grade SQL to build data pipelines and transformations.
• Develop and maintain data workflows and automation scripts in Python.
• Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
• (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
• Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.

Skills & Experience

• 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
• Proven expertise in SQL and building complex data models.
• Strong proficiency in Python for data processing, ETL, and workflow automation.
• Experience with cloud data platforms (Snowflake experience highly desirable).
• Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
• Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.

Nice to Have

• Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
• Understanding of CI/CD pipelines and data infrastructure automation.
• Familiarity with data governance, security, and best practices in a cloud environment.

Lead Data Engineer - Pyspark / AWS / Python / SAS - Financial Sector

As a Lead PySpark Engineer, you will design, develop, and fix complex data processing solutions using PySpark on AWS. You will work hands-on with code, modernising legacy data workflows and supporting large-scale SAS-to-PySpark migrations. The role requires strong engineering discipline, deep data understanding, and the ability to deliver production-ready data pipelines in a financial services environment.

Essential Skills

PySpark & Data Engineering

• Minimum 5+ years of hands-on PySpark experience.
• SAS to Pyspark migration experience
• Proven ability to write production-ready PySpark code.
• Strong understanding of data and data warehousing concepts, including: ETL/ELT, Data models, Dimensions and facts, Data marts, SCDs

Spark Performance & Optimisation

• Strong knowledge of Spark execution concepts, including partitioning, optimisation, and performance tuning.
• Experience troubleshooting and improving distributed data processing pipelines.
• Python & Engineering Quality
• Strong Python coding skills with the ability to refactor, optimise, and stabilise existing codebases.
• Experience implementing parameterisation, configuration, logging, exception handling, and modular design.

SAS & Legacy Analytics

• Strong foundation in SAS (Base SAS, SAS Macros, SAS DI Studio).
• Experience understanding, debugging, and modernising legacy SAS code.

Data Engineering & Testing

• Ability to understand end-to-end data flows, integrations, orchestration, and CDC.
• Experience writing and executing data and ETL test cases.
• Ability to build unit tests, comparative testing, and validate data pipelines.

Engineering Practices

• Proficiency in Git-based workflows, branching strategies, pull requests, and code reviews.
• Ability to document code, data flows, and technical decisions clearly.
• Exposure to CI/CD pipelines for data engineering workloads.

AWS & Platform Skills

• Strong understanding of core AWS services, including: S3, EMR / Glue, Workflows, Athena, IAM
• Experience building and operating data pipelines on AWS.
• Big data processing on cloud platforms.

Desirable Skills

• Experience in banking or financial services.
• Experience working on SAS modernisation or cloud migration programmes.
• Familiarity with DevOps practices and tools.
• Experience working in Agile/Scrum delivery environments.

I have three roles available all of which can be worked remotely so dont delay and apply today. I have interview slots ready to be filled

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Data Architect (GCP / BigQuery) Remote

Location: UK Fully Remote
Salary: Up to £90,000
Sponsorship: Not available

The Opportunity

VIQU have partnered with a data-led organisation that has recently transitioned from on-prem to Google Cloud Platform and is now building a modern Data Mesh platform.

The foundations are in place, but this role is about taking the platform from working to world-class. They re looking for a senior Data Architect who can define the vision, set the standards, and bring clarity to how data products are designed, governed, and consumed across the business.

Think of it as having the menu and ingredients you ll own the recipe, the order, and the rules that make it scalable and repeatable.

The Role

This is a hands-on, high-impact architecture role where you ll work closely with the Principal Data Engineer and Principal Platform Engineer, challenging ideas and shaping robust solutions.

Within your first 3 months, you ll have defined the end-to-end architectural vision for the data platform and established clear standards and governance.

Key responsibilities include:

• Owning the data platform architecture on GCP
• Setting architecture standards, governance, and best practice
• Designing batch, event-driven, and streaming pipelines
• Embedding Data Mesh and Data-as-a-Product principles
• Ensuring data products are discoverable, interoperable, and trusted
• Producing clear architectural documentation and diagrams
• Acting as a trusted advisor on data strategy and roadmap
• Mentoring engineers and raising technical maturity across teams

About You

• Proven experience as a Data Architect / Data Solutions Architect
• Strong GCP experience, particularly BigQuery
• Deep understanding of data mesh, data warehousing, and ETL/ELT
• Experience with MPP databases and large-scale data platforms
• Strong grasp of data governance, security, and GDPR
• Confident communicator who can influence engineers and non-technical stakeholders
• A natural leader with drive, ownership, and accountability

This is a rare opportunity to define how data architecture works across an organisation, not just maintain what already exists all in a fully remote role.

Apply now to speak with VIQU IT in confidence. Or contact Aaron Chiverton on (url removed). Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more exciting roles and opportunities, follow us on IT Recruitment.

Data Engineer (MS Fabric)

London (Hybrid)

6 Month Contract

£500/day (Inside IR35)

Data Engineer needed with active SC Security Clearance and Microsoft Fabric enterprise data platform expertise. 6 Month Contract based in London (Hybrid).

Paying £500/day (Inside IR35). Start ASAP in Feb/March 2026.

Hybrid Working - 3 days/week remote (WFH), and 2 days/week working on-site from the office in Central London.

A chance to work with a leading global IT and Digital transformation business specialising in Government projects:

Key experience + tasks will include:

• Technical Leadership: owning Microsoft Fabric architecture including: Lakehouse, OneLake organization, Warehouse patterns, Gold Layer modelling, defining / implementing ingestion + transformation pipelines (Dataflows Gen2, Notebooks), establishing modelling standards for Gold Layer + semantic models, performance optimization, lineage/observability, governance, RBAC, security, data retention.
• Team Leading / Delivery: setting standards, directing / mentoring the team, reviewing designs, unblocking delivery.
• Planning / coordinating internal squads and external suppliers, managing risks/issues + meeting milestones.
• Stakeholder Management: engaging with product owners, analysts + tech leads, progress/risk reporting.
• Multi-source Integration: coordinating reliable ingestion + orchestration, testing, test data preparation, reporting validation, release practices.
• Operational Readiness: ensuring documentation / run books + non-functional requirements are met (security, resilience, performance).
• Short-Term Objective: baseline Gold Layer model components to enable consistent semantic models and reporting.
• Active SC Clearance is essential for this project.

Data and CRM Planner - 40,000 - Hybrid (London, Durham, Lytham or Glasgow)

The Opportunity
Yolk Recruitment Public Sector & Not-for-Profit team are working closely with a really interesting Civil Service organisation that works to support everyone with managing their money - with a national reach.

They are looking for an experienced Data and CRM Planner who has experience leading a team of data or CRM specialists to provide insight and direction to the wider organisation.

What the Data and CRM Planner will be doing
You will be responsible for providing statistical analysis and insights to stakeholders across the business - predominantly supporting marketing and research projects.

• Define and deliver complex campaign data selections making the most appropriate use of personalisation
• Review existing manual selections to understand and overcome where possibles the barriers to automation
• Provide stakeholders with the confidence in the data selection process and the validity of the data against the campaign rationale and content
• Play a crucial role in helping to test and supporting approval process for all new data feeds and helping share this knowledge and associated use cases within the wider team

What the successful Data and CRM Planner will bring to the team
You will be an experienced data programmer with strong core coding ability; data warehouse

and ETL experience.

• Experienced in transforming data into clear, compelling insights for both technical and non-technical audiences.
• Working knowledge of R and/or Python with the ability to apply coding skills to data preparation, analysis and automation
• Knowledge of data visualisation tools, with experience creating clear, insightful visualisations and dashboards
• Knowledge of web and app traffic optimisation tools

Here’s What You’ll Get in Return

• Salary of up to 40,000
• Pension scheme up to 27.9%
• 9 day fortnight scheme
• Generous parental leave options
• 25 days annual leave
• Very Flexible Working arrangements
• Hybrid working options

Think this one’s for you
If you think this Data and CRM Planner opportunity is for you then please apply online.

Yolk Public Sector & Not-for-Profit team works with organisations across the UK to fulfil their recruitment needs and to achieve their D&I objectives. We recruit temporary, contract and permanent hires for 1 off specialist needs or for volume campaigns. We support our applicants to navigate the public sector recruitment processes and secure their dream jobs.

Yolk Recruitment is an equal opportunities employer and embraces diversity in our workforce. We employ the best people for the job at hand and actively encourage applications from all qualified candidates, regardless of gender, age, race, religion, sexual orientation, disability, educational background, parental status, gender identity or any other protected characteristic. We champion and celebrate diversity at Yolk allowing our team to bring their whole selves to work.

Axis CLC is a national property maintenance and compliance partner, backed by over 110 years of combined experience. We employ more than 2,500 people and support over 400 clients across the UK, delivering essential repairs, refurbishment and building safety services that keep homes and public buildings operating at their best. Each year we complete over 400,000 repairs, helping to keep tenants safe, properties performing and owners fully compliant.

We are looking for a Reporting & Data Analyst to join our Finance function, supporting the delivery of accurate, insightful financial and operational reporting across the Group.

Reporting to the Finance Systems / Reporting Lead (or relevant manager), this role sits at the intersection of finance, data and systems. You will be responsible for extracting, transforming and analysing data from Dynamics 365 Finance & Operations (D365 F&O) and a range of legacy and unstructured sources, translating complex datasets into clear, actionable insight for finance and operational stakeholders.

This role plays a key part in strengthening reporting capability, improving data quality and supporting evidence-based decision-making across the business.

Key Responsibilities

You will:

• Extract financial and operational data from D365 Finance & Operations using appropriate tools and methods, including DMF, OData and BYOD
• Transform and structure data from unstructured sources such as spreadsheets, CSV files, PDFs and text-based reports using Power Query
• Develop, maintain and improve Excel-based reporting, including PivotTables, Power Pivot models and advanced formulas
• Build and maintain Power BI dashboards to support reporting of key performance indicators, including AR/AP, cash flow and project accounting
• Perform data validation and cleansing activities, identifying root causes of data quality issues and implementing sustainable solutions
• Work closely with finance and operational stakeholders to understand reporting requirements and translate technical outputs into clear business insight
• Support the automation and standardisation of reporting processes to improve efficiency, consistency and control
• Contribute to continuous improvement initiatives relating to finance systems, data governance and reporting frameworks

Skills, Knowledge & Experience

Essential:

• 3 5 years experience in a data, reporting or analytics role, ideally within a finance or ERP environment
• Practical experience working with Dynamics 365 Finance & Operations, with an understanding of core finance modules (GL, AP, AR)
• Advanced Excel capability, including Power Query, Power Pivot and complex formulas
• Strong SQL skills, with experience writing queries involving joins and aggregations
• Proven ability to work with large, inconsistent or unstructured datasets
• Strong analytical skills with the ability to present clear, meaningful insight to non-technical stakeholders

Desirable:

• Experience using Power BI for dashboard development and reporting
• Exposure to Power Automate, Azure Data Lake or Microsoft Fabric
• Experience supporting finance or reporting transformation initiatives
• Relevant Microsoft certifications (e.g. D365 Fundamentals MB-920 or PL-300)

What We Offer

• Salary £65,000 - £75,000 per annum (dependent on experience)
• A competitive salary package with a performance-related bonus
• Pension scheme and life assurance
• 25 days holiday plus bank holidays
• Perkbox (discounts, perks and wellbeing offers)
• 1 paid volunteer day
• £2,000 refer-a-friend bonus after the referee passes probation
• Opportunities for development and progression across Axis CLC

Why Axis CLC

Joining Axis CLC means being part of a national team delivering essential services across housing, education, healthcare, defence and commercial property. We value insight, quality and evidence-based decision-making, and offer roles where your work directly influences business performance and long-term growth.

Our Commitment to Inclusion

Many faces, one Axis CLC. We value diversity and are proud to be an equal-opportunity employer. If you require any adjustments during the hiring process, please let us know.

Company Introduction

Boundaryless is a boutique consulting firm, providing clients with deep expertise in advanced analytics & data forensics, agentic automation, and Artificial Intelligence solutions. We operate around the world, with offices in 7 countries: United Kingdom, France, The Netherlands, Switzerland, India, Sri Lanka, and the USA.

Boundaryless is an equal opportunity employer. While we apply high standards to the experts we hire and the work we deliver, we also strive for diversity. Our team is a living example of this, with 13 nationalities and 50% female employees.

Due to the growing demand from financial services organizations for automation services supporting data transformation and agentic process automation, open positions for Business Analysts who understand operational and regulatory reporting processes in (investment) banking.

Capital Markets knowledge and Finance experience are key components for this role.

Role Description

• The Technical Data Analyst will support a data transformation and controls program for a top-tier banking client
• Translate business requirements into technical specifications.
• Responsible for analyzing, validating, and reconciling large-scale datasets used for operational and regulatory reporting.
• Work across IT teams to define data requirements, quality rules, and controls for critical data elements. Facilitating the UK issue remediation process by hosting and facilitating conference calls amongst SMEs required to drive items to closure
• Tracking, adjudication, and reporting of Data Quality issues
• You will work with team members on topics including data profiling, lineage validation, source-to-target mapping, and root-cause analysis for data issues.
• Produce clear documentation and evidence to support UAT sign-off, audit reviews, and control attestations.
• Ensure traceability from data requirement transformation logic quality checks reporting outputs audit evidence.

Location

• The role supports one of our top-tier banking clients in London (Canary Wharf) and requires a minimum of three days on-site presence.
• This is a permanent position based in the UK. We will only consider applicants who are eligible to work in the UK. For this role do NOT offer visa sponsorship.

Experience Requirements & Qualifications

• Minimum 5 years of relevant experience in data analytics, data quality, reporting controls, or data transformation programs (preferably in financial services).
• Proficiency in SQL (advanced querying, performance tuning, reconciliation logic).
• Strong proficiency in Python for data analysis and automation (pandas, data validation frameworks, scripting).
• Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling).
• Working knowledge of Autosys & Apache Airflow (monitoring schedules, reruns, failure triage).
• Experience with CI/CD tools (Git, Harness, UrbanCode Deploy (UCD), Red Hat OpenShift).
• Familiarity with AWS S3 for large-scale data storage and dataset movement patterns.
• Experience supporting Tableau dashboards (data validation, extract refresh checks, reconciliation to source).

Nice-to-Have

• Ideally, you have experience with tools including PySpark, Spark SQL, Hive, Impala, HDFS, Parquet, and Oracle databases.
• Experience in regulated or enterprise data environments (investment banking, risk, finance, compliance).
• Exposure to data governance concepts: critical data elements (CDEs), lineage, data quality dimensions, audit frameworks.
• Experience working in Agile/Scrum delivery models
• Knowledge of monitoring/alerting tools for data pipelines and batch operations.
• Familiarity with regulatory reporting domains or control frameworks (data controls, attestations, audit readiness).
• Familiarity with Visio, as well as DCRM tools to manage, document and monitor data quality issues

Main tasks and responsibilities

• Conduct discovery sessions to understand reporting objectives, key datasets, and edge cases.
• Perform data profiling and produce findings on completeness, accuracy, consistency, and timeliness.
• Design and execute reconciliation checks (source vs target, pre vs post transformation, report vs underlying data).
• Support creation of data requirements artifacts (data dictionaries, source-to-target mapping support, business rules, quality rules).
• Define and maintain data quality checks, exception logs, and analysis on recurring defects.
• Lead/Support UAT activities for reporting and controls; validate outcomes and document evidence.
• Produce audit-ready documentation: test packs, control evidence, runbooks, and explainable results.
• Partner with engineers to troubleshoot data issues and ensure analytical intent is preserved in implementation.
• Track and communicate risks, dependencies, and changes impacting reporting and control outcomes.

Your application

If you feel you fit this profile, please apply via

Please send your CV as well as an overview of automation projects you have delivered.