Senior Data Engineer Edinburgh 4 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