Data Engineer (Banking & Investments)

Voodoo Park is seeking Senior Data Engineers to join a delivery team supporting a major financial-services client’s Data Strategy implementation.

You will design, build, test and deploy data-engineering features, including onboarding new data sources and migrating existing ETL processes from Azure Data Factory and Azure Data Lake Storage to Microsoft Fabric.

Responsibilities

• Enhance an existing metadata-driven ADF ingestion framework to onboard new data sources.
• Develop incremental load processes, watermarks, merge logic and ingestion mappings.
• Migrate ETL processes from ADF and ADLS to Microsoft Fabric Pipelines.
• Integrate Fabric Pipelines through On-Premises Data Gateways.
• Build parameterised templates and reusable Fabric deployment patterns.
• Produce and maintain source-to-target data mappings and technical specifications.
• Promote build artefacts through DEV, TEST, UAT and PROD using established CI/CD and DevOps processes.
• Test new and migrated data pipelines and resolve material defects.
• Support system testing, UAT, defect investigation and retesting.
• Work collaboratively within fortnightly Agile sprint cycles.
• Engage with architects, analysts, testers and business stakeholders to clarify requirements and deliver agreed outcomes.

Essential experience

• Strong hands-on commercial experience with Microsoft Fabric, particularly Fabric Pipelines.
• Strong Azure Data Factory and Azure Data Lake Storage experience.
• Proven experience designing and implementing ETL and data-ingestion pipelines.
• Experience with metadata-driven ingestion frameworks.
• Strong understanding of incremental loads, watermarks and merge patterns.
• Experience integrating cloud data platforms with On-Premises Data Gateways.
• Experience implementing CI/CD and promoting data solutions through multiple environments.
• Strong SQL and data-mapping skills.
• Experience testing data pipelines and resolving data-quality and ingestion defects.
• Ability to produce clear technical documentation and reusable engineering patterns.
• Experience delivering within Agile sprint teams.
• Banking or wider financial-services experience.
• Experince in Python

Desirable experience

• Azure DevOps.
• Experience migrating enterprise data workloads from ADF/ADLS to Fabric.
• Experience working within regulated environments and established security controls.

Engagement requirements

• The engagement will be through a personal service company and is intended to operate outside IR35, subject to the client’s final SDS.
• Successful completion of the required banking background, identity and security checks is mandatory before commencement.
• Candidates must be able to meet the expected London attendance requirements.

About Voodoo Park

For over 14 years, Voodoo Park has helped organisations turn ambitious technology ideas into reality. We build high-performing software teams that deliver everything from brand-new platforms to AI-powered solutions for clients across the UK and internationally.

Whether our clients need an entire engineering team or experienced specialists to accelerate an existing project, we become a trusted extension of their business. Our expertise spans modern software engineering, cloud technologies, AI and mobile development.

We've been remote-first since day one, giving our people the flexibility to work from home while collaborating with talented colleagues around the world.

We're proud to be a certified B Corp, independently recognised for meeting high standards of social and environmental impact, governance and accountability.

We also believe business should make a positive difference. That's why 10% of our profits are donated to the VDP Trust, supporting projects that improve opportunities for women and girls around the world.

At Voodoo Park, success isn't measured only by the software we build, but by the positive impact we have on our people, our customers and the wider community.

Everything we do is guided by four core values:

Collaborate | Compassion | Honesty | Inclusion