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Lead Data Engineer

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TalentHawk

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Location:
United Kingdom , Swindon

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

75000.00 GBP / Year
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Job Description:

Lead Data Engineer to design, build, and maintain the integrity of our core data platform. You will serve as the technical authority for data engineering, ensuring our organisation has a secure, trusted foundation for reporting, analytics, and strategic insight. As a player-coach, you will lead the BI team, driving data-enabled decision-making while ensuring our architecture is scalable, compliant, and aligned with business objectives.

Job Responsibility:

  • Architecture & Implementation: Own the Data Warehouse lifecycle, ensuring high availability, security, and scalability
  • Data Integration: Build and maintain robust pipelines to ingest and transform data from diverse systems (Salesforce, NetSuite, and digital platforms)
  • Team Leadership: Manage and mentor the BI team, providing technical direction and fostering a high-performance culture
  • Data Governance & Security: Implement validation practices, metadata management, and data lineage to ensure GDPR compliance and data integrity
  • Stakeholder Collaboration: Act as a bridge between technical teams and business leaders to translate reporting needs into actionable technical solutions
  • Strategic Input: Evaluate new technologies and provide expert advice on programs requiring integrated data and analytics

Requirements:

  • Proven experience leading data engineering or BI teams within complex environments
  • Hands-on expertise in designing and implementing Enterprise Data Warehouses
  • Track record of building secure data pipelines across multiple source systems
  • A degree in Computer Science, Data Engineering, or a related field (or equivalent experience)
  • Relevant certifications (e.g., Azure/AWS Data Engineer, Snowflake) are highly desirable
  • Strong grasp of Data Vault, Kimball, or equivalent design patterns
  • Expert-level SQL, ETL/ELT pipeline development, and modern engineering tools
  • Proficiency with cloud-based services (Azure, AWS, or GCP) and Power BI
  • Deep understanding of data security, GDPR, and governance frameworks
  • Exceptional leadership and mentoring capabilities
  • Ability to balance long-term architectural health with pragmatic, timely delivery
  • Strong communication skills, capable of engaging both technical and non-technical stakeholders

Additional Information:

Job Posted:
February 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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