Lead Databricks Engineer – Single Customer View

Location: Bournemouth (Hybrid)
Contract: 12-month FTC
Salary: £85,000 + Benefits

Lead Databricks Engineer: About the Role

Join our Single Customer View (SCV) Programme, a strategic initiative within Financial Services aimed at delivering a unified, trusted view of customer data.

We’re seeking a highly skilled Lead Databricks Engineer to design and implement scalable data pipelines that form the backbone of our Lakehouse platform, enabling accurate analytics, reporting, and regulatory compliance.

You’ll work with cutting-edge technologies including Databricks, PySpark, and Azure Data Factory, applying best practices in data engineering and governance to support this critical programme.

Lead Databricks Engineer: Key Responsibilities

• Build and maintain Databricks pipelines (batch and incremental) using PySpark and SQL.
• Orchestrate end-to-end workflows with Azure Data Factory.
• Develop and optimise Delta Lake tables (partitioning, schema evolution, vacuuming).
• Implement Medallion Architecture (Bronze, Silver, Gold) for transforming raw data into business-ready datasets.
• Apply robust monitoring, logging, and error-handling frameworks.
• Integrate pipelines with downstream systems such as Power BI.
• Collaborate with analysts, business teams, and engineers to deliver consistent, well-documented datasets.
• Support deployments and automation via Azure DevOps CI/CD.
• Gather and refine requirements from business stakeholders.

Lead Databricks Engineer: About You

• Strong PySpark development skills for large-scale data engineering.
• Proven experience with Databricks pipelines and workflow management.
• Expertise in Azure Data Factory orchestration.
• Solid knowledge of Delta Lake and Lakehouse principles.
• Hands-on experience with SQL for data transformation.
• Familiarity with Azure services (ADLS/Blob, Key Vault, SQL).
• Knowledge of ETL/ELT frameworks and monitoring.

Desirable:

• Understanding of Microsoft Fabric.
• Experience with DevOps practices (CI/CD).
• Awareness of data governance and lineage tools.
• Experience in Financial Services.

Rewards & Benefits

• 30 days’ holiday + BH
• Competitive pension scheme
• Annual bonus scheme
• Private medical insurance

+ Many more

About Us

We’re committed to building an inclusive culture and value diversity in all forms. Flexible working options are available. Please note: we cannot offer Skilled Worker Visa Sponsorship for this role.

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.

Senior Matillion Engineer

Gloucestershire / Hybrid / Permanent

£60,000 – £65,000

About the Role:
We’re seeking an experienced Senior Matillion Engineer to join a growing infrastructure team, focusing on Matillion within a modern cloud-first data platform environment.

In this role, you’ll take ownership of maintaining a highly resilient and secure data platform, ensuring it operates efficiently and aligns with best practices. You’ll resolve incidents, perform proactive monitoring, and ensure compliance with internal IT policies and controls such as access management, recoverability testing, and audit requirements.

This is a fantastic opportunity for someone who thrives in a collaborative environment and enjoys working closely with engineering, architecture, and project teams to deliver high-quality technical support services.

Key Responsibilities

• Provide expert-level support for Matillion technology within the data platform.

• Manage and resolve platform incidents, ensuring minimal disruption to service.

• Conduct proactive monitoring and maintenance to uphold operational resilience.

• Implement and uphold IT controls and security standards across the platform.

• Support the development and enforcement of technical support standards and documentation.

• Act as a subject matter expert for Matillion, providing guidance to internal teams.

• Collaborate with architecture, engineering, and development teams to ensure end-to-end service quality.

• Foster continuous improvement by identifying automation opportunities and streamlining processes.

• Maintain a knowledge base of technical solutions, troubleshooting guides, and best practices.

• Mentor junior team members and share technical knowledge across the wider operations team.

What We’re Looking For

• Proven experience supporting Matillion data platform technology.

• Strong understanding of cloud infrastructure (SaaS, IaaS, PaaS).

• Demonstrated experience in incident resolution, performance tuning, and proactive monitoring.

• Familiarity with IT governance, compliance, and security principles.

• Excellent stakeholder management and communication skills.

• A passion for continuous improvement, automation, and innovation in data operations.

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.

Data Analyst – insurance portfolio analysis

£350-450(DOE)/day overall assignment rate to umbrella

3-month contract

London – initially on-site 4x a week with flexibility after the first month

Working with a leading financial services client who are looking for a Data Anayst contractor to focus on reviewing and analysing their insurance portfolio. This role will involve manual data extraction and aggregation from multiple sources to create a consolidated dataset that supports tradability of portfolios.

Data Analyst, key skills:

• Advanced Excel skills (data modelling, Power Query, PivotTables, advanced formulas)
• Proven experience in manual data extraction and data cleansing from unstructured sources
• Ability to create and maintain clear, auditable data profiles and summaries
• Experience analysing insurance portfolio data, ideally within property or casualty lines
• Understanding of layered insurance programs, including rate, SIR, and attachment point structures (highly desirable)
• Strong analytical, numerical, and problem-solving skills
• High attention to detail and accuracy in handling large datasets

Data Analyst, Excel, Insurance

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.

MLE- Machine Learning Engineer / Data Engineer – Python

£650-£750 pd via Umbrella

Initially for 6 months with long term potential

Fully Remote based

A global company is expanding its team and hiring multiple Data Engineers / Machine Learning Engineers. You’ll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business.

This role is ideal for someone with strong software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments.

Essential Experience

• Strong programming skills in Python (Pandas, NumPy, etc.).
• Proficiency in SQL for data querying and transformation.
• Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with data manipulation and large datasets.
• Proven experience developing and maintaining production-level codebases.
• Experience with any public cloud provider (GCP, AWS, or Azure).
• Optimise Python performance through effective use of loops, vectorization, threading, and understanding of the Global Interpreter Lock (GIL).

Desirable Experience

• Experience with Kubeflow, Airflow, or dbt.
• Hands-on experience with Google Cloud Platform (GCP).
• Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices.
• Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.).

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.

Data Engineer – Fabric

£450/day outside IR35

6-month contract

London-based – hybrid working

Working with a FTSE 250 organisation who are looking for a Fabric Data/BI Engineer to help create and drive analytics solutions.

BI/Data Engineer, key skills:

• Microsoft Fabric experience
• Proven data engineering experience – setting up complex ETL processes with ADF pipelines
• Data visualisation and reporting using PowerBI
• Data modelling experience – conceptual, logical and physical
• Proficient in SQL
• Extensive experience with Microsoft cloud stack

Data Engineer, BI Engineer, Fabric, ADF

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.

Data Governance Analyst (IDMC / Metadata / Insurance)
£500-£600 per day (via Umbrella)
Hybrid – 2 days per week in Central London

We are seeking an experienced Data Management Analyst to join a leading Insurance Company on a long-term contract.

The Data Governance Analyst with strong experience in Informatica Intelligent Data Management Cloud (IDMC) and metadata management to join our growing Data & Analytics team.

You’ll play a key role in ensuring data quality, consistency, and compliance across our enterprise data landscape – supporting critical business and regulatory initiatives within the insurance domain.

Key Responsibilities:

• Support the design, implementation, and ongoing management of data governance frameworks, policies, and standards.
• Work hands-on with Informatica IDMC (including Axon, EDC, and Data Quality components) to manage metadata, lineage, and data quality rules.
• Collaborate with data stewards, data owners, and business stakeholders to drive data governance adoption and maturity.
• Develop and maintain metadata catalogs and ensure alignment with business glossaries and data models.
• Analyse and document data flows, lineage, and definitions across key systems, especially within the insurance data landscape.
• Support regulatory and compliance initiatives such as Solvency II, IFRS 17, or data privacy regulations.
• Provide insights and recommendations to improve data quality, accessibility, and governance processes.

Skills & Experience Required:

• Proven experience as a Data Governance Analyst, Data Steward, or similar role.
• Hands-on expertise with Informatica IDMC (including Axon, EDC, or Data Quality tools).
• Strong understanding of metadata management, data lineage, and data cataloging concepts.
• Experience within the insurance industry (life, general, or reinsurance) – strong understanding of insurance data domains (policy, claims, underwriting, etc.) preferred.
• Familiarity with data governance frameworks (e.g., DAMA DMBOK) and data management best practices.
• Excellent communication and stakeholder engagement skills.

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.

Data Management Lead S/4HANA

Hybrid – Ormskirk| £75,000 + Excellent Benefits

Are you a data professional ready to take the lead in shaping a large-scale digital transformation? We’re looking for an experienced Data Management Lead to define and deliver a long-term data strategy that underpins both our ERP programme and the wider digital landscape. This is a senior, high-impact role that combines strategic vision with hands-on delivery

You’ll take ownership of the data workstream for a major ERP harmonisation initiative, ensuring the organisation’s data is clean, compliant, and ready to drive smarter decision-making. You’ll lead a team of data professionals and work closely with stakeholders to embed sustainable data governance and management practices.

Key Responsibilities

• Define and implement a comprehensive data strategy for the Digital function, focused on ERP transformation.

• Lead the data workstream, covering the full data migration lifecycle (ETL).

• Oversee data governance, profiling, cleansing, enrichment, and quality assurance.

• Manage and mentor a team of analysts, migration specialists, and external consultants.

• Report on data readiness, risks, and progress to programme leadership.

About You

• Proven experience leading SAP data workstreams S/4HANA

• Strong knowledge of migration tools such as SAP Data Services, LSMW, or Migration Cockpit.

• Experience with data governance, master data management, and complex data architectures.

• Familiarity with Data Lakes, Microsoft data tools, and integration architectures is a plus.

What’s on Offer

• Competitive salary and management bonus scheme

• 25 days holiday plus bank holidays, with holiday exchange options.

• Company car or cash allowance.

If you’re ready to lead a pivotal data transformation and leave a lasting impact on a major digital programme, we’d love to hear from you.

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.

Data Management Specialist (Purview)

Location: Hybrid (with some presence required at Bournemouth office)
Contract:12-month Fixed Term Contract

Salary: £68,0000 – Bonus, PHC, double match pension, 38 days holiday

Are you ready to shape the future of data in financial services?

We’re looking for a passionate Data Management Specialist to lead a greenfield implementation of Microsoft Purview and help drive an enterprise-wide data transformation. This is an exciting opportunity to embed best-in-class data practices and governance across a dynamic organisation.

Data Management Specialist (Purview) What You’ll Do

• Lead the greenfield implementation of Purview and support migration to Microsoft Fabric.
• Develop and deliver a Data Management roadmap, introducing capabilities such as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries.
• Champion Data Ownership and Stewardship communities and drive a Data Literacy programme.
• Collaborate with IT, compliance, and business teams to ensure data quality, consistency, and compliance.
• Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239).
• Act as a technical advisor and coach for Accountable Executives, Data Owners, and Stewards.

Data Management Specialist (Purview) Essential Experience:

• Proven experience in data management/governance, ideally within Financial Services.
• Hands-on experience with tools like Purview, Collibra, Informatica, or Alation.
• Strong SQL skills and familiarity with Azure, Microsoft Fabric, or other cloud platforms.
• Knowledge of UK GDPR, Data Protection Act 2018, and ETL processes.

Desirable:

• Certifications such as DAMA/CDMP.
• Experience in data remediation, migration, and quality improvement projects.

Rewards & Benefits

• 30 days’ holiday (plus option to buy more).
• Double-matched pension contributions (up to 14%).
• Annual bonus scheme.
• 35 hour working week
• Hybrid working
• Private medical insurance and flexible benefits.
• Discounts on life products and access to wellbeing services.

A unique opportunity to be part of a team that’s shaping the future of data in financial services.

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.

Data Governance Implementation Manager

Salary: £75,000- £82,000 + Bonus, 30 + days holiday, double matched pension scheme & PHC

Employment Type: 12-month Fixed Term Contract
Location: Bournemouth – Hybrid working (once a month onsite)
Industry: Financial Services

A leading Financial Services business are seeking a highly experienced Data Governance Implementation Manager to join a newly formed Data team. Reporting to the Head of Data, this pivotal role will drive the implementation of our data governance strategy, ensuring our data is accurate, secure, consistent, and compliant with regulatory standards.

You will work across business and technical teams to embed best practices in data ownership, quality, metadata management, and stewardship. This is a strategic and hands-on role, ideal for someone passionate about data and its role in driving business value and regulatory compliance.

Data Governance Implementation Manager Key Responsibilities

• Develop and maintain enterprise data governance frameworks, policies, and standards.
• Collaborate with business units to define data domains, ownership models, and critical data elements.
• Lead data governance councils and working groups.
• Define and monitor data quality rules and manage exceptions.
• Ensure alignment with regulatory requirements (e.g., GDPR, BCBS 239, DORA).
• Oversee data lineage, cataloging, and metadata management using tools such as Collibra, Informatica, Microsoft Purview, or Alation.
• Support governance integration within platforms like Azure, Databricks, Microsoft Fabric, and BI tools.
• Promote data literacy and deliver training across the organisation.
• Provide audit and regulatory evidence, supporting internal/external audits and exams.
• Report on data governance KPIs and maturity models to senior leadership.

Data Governance Implementation Manager Required Skills and Experience:

• Proven experience in data governance, data quality, or data management within financial services.
• Experience with cloud platforms (Azure) and modern data stacks.
• Experience with data governance tools – Microsoft Purview preferred.
• Solid understanding of data architecture, modelling, and integration technologies.
• Excellent stakeholder management and influencing skills at senior levels.
• Strong communication and facilitation skills.
• Experience in Agile or hybrid delivery environments.

• Familiarity with frameworks such as DCAM, DAMA-DMBOK, or CDMC.
• Certifications such as CDMP, Collibra Ranger, or Microsoft Certified: Azure Data Fundamentals.

This is an initial 12-month FTC with the potential option for permanent. The business offers a hybrid working with a minimum of once a month onsite.

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.

Machine Learning/Data Engineer

£700-750/day overall assignment rate to umbrella

Fully remote

3-6 month initial

Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales from sustainable products, this is a company that combines scale, innovation and purpose.

As a Machine Learning Engineer, you’ll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows and ML issues in live production environments.

We’re looking for individuals with:

• Experience: Proven background as a Machine Learning Engineer.
• Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib).
• Data transformation & manipulation: experience with Airflow, DBT and Kubeflow
• Cloud: Experience with GCP and Vertex AI (developing ML services).
• Expertise: Solid understanding of computer science fundamentals and time-series forecasting.
• Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning).

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.