via reed · 26 May 2026 ·11 days ago

Data Engineer

Broster Buchanan
London Full-time GBP 50,000 – 55,000
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  • Data Pipeline and Integration design, build and maintenance

  • Data Modelling & Warehousing in a medallion lakehouse model

  • Engineer data flows in line with GDPR and governance framework

Data Engineer Permanent role based in Central London.
Hybrid role with 3-4 days in the office and the rest remote. Must be commutable to the Covent Garden area of London.
Salary up to £55,000 + Benefits

Embark on an exciting journey as a Data Engineer at our dynamic, multi-entity organization. In this permanent role, you'll play a pivotal part in shaping the future of their data landscape, earning a competitive salary range of GBP50,000 - GBP55,000. As a key member of a talented team, you'll leverage your exceptional data engineering skills to build and maintain robust data pipelines, seamlessly integrating a diverse suite of SaaS platforms, including NetSuite, Screendragon, SugarCRM, and more.

  • Unlock the Power of Data: Harness your expertise in data engineering, integration, and pipeline development to transform their data into a strategic asset, driving informed decision-making across the organization.

  • Embrace Cutting-Edge Technology: Collaborate with a tech-savvy team to leverage the latest tools and platforms, including Microsoft Fabric, PySpark, and Power BI, to build scalable, efficient, and secure data solutions.

  • Elevate the Customer Experience: Ensure reliable data flow between core systems, empowering teams to deliver exceptional service and insights to valued clients.

Preferred Requirements: • Proven expertise in building and operating production-ready data pipelines, with a strong background in SQL, Python, and PySpark/Spark.
  • Proficiency in building REST API integrations, with a solid understanding of data modelling, ETL/ELT patterns, and modern data warehousing concepts.

  • Hands-on experience with Microsoft Fabric (or equivalent lakehouse platform), Power BI Direct Lake semantic models, and Azure services (Key Vault, Blob Storage, Entra ID).

  • Demonstrated ability to apply data security, privacy (including GDPR), and governance principles in your engineering work.

  • Excellent troubleshooting skills and a methodical approach to root-cause analysis, with the ability to communicate technical decisions to non-technical stakeholders.

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