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Senior Analytics Engineer

Harnham - Data & Analytics Recruitment·London (South East England)HybridSenior
£75 000 – £85 000 / year
Vox Summary
  • Role Responsibilities: Build and maintain analysis-ready datasets, develop data models with dbt and Databricks, and support data governance and quality improvements.
  • Key Requirements: Strong SQL experience, familiarity with data transformation, medallion architecture, Python, Databricks, and collaboration skills in data teams.
  • Conditions & Benefits: Hybrid working model in London, up to £85,000 salary, opportunity to shape data modelling practices, and work in a fast-scaling fintech environment.
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Job description

SENIOR ANALYTICS ENGINEER LONDON/HYBRID UP TO £85,000 This is an opportunity to join a fast-scaling, product-led fintech at a pivotal point in its data journey. With strong investment in a modern data stack and a growing Analytics Engineering function, you will play a key role in shaping how data is modelled, governed and leveraged across the organisation. This role offers genuine ownership and the chance to define best practices in a high-impact environment. ROLES AND RESPONSIBILITIES: The Senior Analytics Engineer will: • Build and maintain curated, analysis-ready datasets for business use • Develop scalable data models and transformation layers using dbt and Databricks • Create reliable sources of truth for analysts and reporting teams • Collaborate with stakeholders to understand data requirements and deliver impactful solutions • Contribute to best practices across data modelling, testing, CI/CD and version control • Support the evolution of a modern data platform and medallion architecture • Proactively identify opportunities to improve data quality, efficiency and governance • Your Skills and Experience YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: • Strong commercial experience in SQL within modern data platforms • Proven background in analytics engineering or closely aligned data roles • Experience with dbt and data transformation best practices • Understanding of data warehouse modelling concepts such as medallion architecture or Kimball methodologies • Familiarity with Python for data workflows • Exposure to tools such as Databricks, or similar cloud-based platforms • Experience working in collaborative data teams and delivering for multiple stakeholders • Strong communication skills and a proactive approach to problem solving APPLY BELOW!

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Original source
reed.co.uk
Posted
Jun 12, 2026 · true date
Last verified
2 hours ago
Quality score
65/100
Salary stated30
Company identified0
applyUrl0
postedAt15
Complete description20

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