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Senior Data Engineer

United Kingdom, United Kingdom 350.00 - 600.00 GBP / Day · Job Posted May 31, 2026
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Job Description

Senior Data Engineer The Opportunity We are currently partnering with several leading technology consultancies and fast-growing data-driven organisations who are looking to strengthen their engineering capabilities. These roles offer the chance to work on high-impact, scalable data platforms that sit at the heart of complex business operations, providing you with the autonomy to shape architecture and drive technical excellence. The Role As a Senior Data Engineer, you will take ownership of the end-to-end development of robust, performant, and cost-effective data pipelines, ensuring the reliability of critical data infrastructure. You will collaborate closely with cross-functional teams, including data scientists and product managers, to translate complex business needs into high-quality data models and analytical solutions. Beyond hands-on development, you will act as a technical leader, establishing engineering standards, implementing observability frameworks, and mentoring team members to drive continuous improvement.

Job Responsibility

  • Take ownership of the end-to-end development of robust, performant, and cost-effective data pipelines, ensuring the reliability of critical data infrastructure
  • Collaborate closely with cross-functional teams, including data scientists and product managers, to translate complex business needs into high-quality data models and analytical solutions
  • Act as a technical leader, establishing engineering standards, implementing observability frameworks, and mentoring team members to drive continuous improvement

Requirements

  • data engineering experience
  • python
  • sql
  • etl/elt design
  • cloud platforms
  • data modelling
  • ci/cd and iac
  • technical leadership
  • data observability
  • 5+ years of professional experience in data engineering or a related field
  • Proficiency in Python and advanced SQL for production data environments
  • Extensive experience designing and managing ETL/ELT pipelines and data warehouses
  • Strong understanding of cloud platforms (AWS, Azure, or GCP) and managed data services
  • Experience with data modelling, schema design, and data governance principles
  • Proven ability to implement CI/CD pipelines and infrastructure-as-code
  • Experience with data quality, observability, and automated testing frameworks
  • Strong communication skills and experience collaborating with cross-functional stakeholders
  • Demonstrated ability to mentor team members and lead technical initiatives

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