Senior Data Engineer

Senior Data Engineer

Edinburgh 3 days per week on-site

6 months (likely extension)

£550 - £615 per day outside IR35

Primus is partnering with a leading Financial Services client who are embarking on a greenfield data transformation programme. Their current processes offer limited digital customer interaction, and the vision is to modernise these processes by:

• Building a modern data platform in Databricks
  
  
• Creating a single customer view across the organisation.
  
  
• Enabling new client-facing digital services through real-time and batch data pipelines.
  
  You will join a growing team of engineers and architects, with strong autonomy and ownership. This is a high-value greenfield initiative for the business, directly impacting customer experience and long-term data strategy.
  
  Key Responsibilities:
  
  
• Design and build scalable data pipelines and transformation logic in Databricks
  
  
• Implement and maintain Delta Lake physical models and relational data models.
  
  
• Contribute to design and coding standards, working closely with architects.
  
  
• Develop and maintain Python packages and libraries to support engineering work.
  
  
• Build and run automated testing frameworks (e.g. PyTest).
  
  
• Support CI/CD pipelines and DevOps best practices.
  
  
• Collaborate with BAs on source-to-target mapping and build new data model components.
  
  
• Participate in Agile ceremonies (stand-ups, backlog refinement, etc.).
  
  Essential Skills:
  
  
• PySpark and SparkSQL.
  
  
• Strong knowledge of relational database modelling
  
  
• Experience designing and implementing in Databricks (DBX notebooks, Delta Lakes).
  
  
• Azure platform experience.
  
  
• ADF or Synapse pipelines for orchestration.
  
  
• Python development
  
  
• Familiarity with CI/CD and DevOps principles.
  
  Desirable Skills
  
  
• Data Vault 2.0.
  
  
• Data Governance & Quality tools (e.g. Great Expectations, Collibra).
  
  
• Terraform and Infrastructure as Code.
  
  
• Event Hubs, Azure Functions.
  
  
• Experience with DLT / Lakeflow Declarative Pipelines:
  
  
• Financial Services background