Data Engineer

London
2 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

As a Data Engineer, you will be responsible for:

Data Engineering & Development

  • Design, build, and maintain high-quality, scalable, and tested data pipelines.

  • Develop and manage Databricks structured streaming pipelines.

  • Build and optimize event-driven and real-time data processing solutions.

  • Implement and maintain Unity Catalog-based Lakehouse architecture.

  • Develop analytics-ready datasets to support business insights and reporting.

    Platform & Automation

  • Build and manage CI/CD pipelines using Azure DevOps.

  • Identify and implement automation opportunities across workflows.

  • Ensure reliable and stable data platform operations.

  • Apply governance, security, and documentation standards.

    Data Quality & Reliability

  • Establish the Data Lakehouse as a trusted and reliable source of truth.

  • Monitor, troubleshoot, and resolve data incidents.

  • Support business users and technical teams with data-related queries.

  • Continuously improve platform performance and reliability.

    Collaboration & Support

  • Work closely with data science, analytics, platform, and business teams.

  • Champion data engineering best practices.

  • Provide technical guidance and mentorship where required.

  • Contribute to a culture of learning, quality, and continuous improvement.

    Essential Skills

  • Strong experience with Azure Databricks and cloud data platforms.

  • Advanced proficiency in Python, PySpark, and SQL.

  • Experience developing Spark/Databricks pipelines.

  • Hands-on experience with structured streaming and event-driven systems.

  • Strong understanding of Lakehouse architecture and best practices.

  • Experience with Unity Catalog.

  • Expertise in Azure DevOps and CI/CD pipelines.

  • Knowledge of data modelling (dimensional/star schemas).

  • Experience working in Agile environments.

    Desirable Skills

  • Exposure to multiple data technology stacks.

  • Experience in large-scale enterprise environments.

  • Knowledge of security, governance, and compliance frameworks

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