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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.
