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Senior Data Engineer

London
3 weeks ago
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URGENT ROLE - London Based Senior Data Engineers 🚨

Senior Data Engineer

London 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.

      If you are open to working 4 days onsite in London and tick most of the boxes please apply

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