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
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