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Senior Data Engineer

Primus Connect
Edinburgh
1 month ago
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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

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