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Databricks Tech Lead – Azure Data Engineering (Contract)

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1 month ago
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Databricks Tech Lead – Azure Data Engineering (Contract)


Apply fast, check the full description by scrolling below to find out the full requirements for this role.

We are looking for a highly technical, hands-on Databricks Tech Lead to join a large-scale digital transformation programme within the Energy Trading space.

This role will focus on building, optimising, and scaling a data lake on Azure with particular emphasis on streaming pipelines, Delta Live Tables (DLT), and cost-efficient architecture.

Role:

  • Designing and developing streaming and batch data pipelines in Databricks (including DLT).
  • Managing structured streaming in continuous mode, ensuring low-latency data delivery.
  • Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse.
  • Troubleshooting and optimising performance bottlenecks in high-volume streaming systems.
  • Applying best practices for cloud cost management and efficient Databricks resource usage.
  • Integrating data from on-prem and cloud sources using tools like Qlik Replicate (CDC).
  • Supporting future phases involving data science and machine learning enablement.

Tech Environment

  • Platform: Azure
  • Core Tools: Databricks, Delta Live Tables, Qlik Replicate (CDC)
  • Architecture: Hybrid (on-prem + cloud)
  • Data Modes: Real-time streaming & batch jobs

If you are a Tech Lead with a strong background in Databricks, Delta Live Tables and Qlik Replicate, please apply with your updated CV.

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