Analytics Engineer

You'll join a dynamic Data and Analytics team, reporting to the Head of Data and Analytics, playing a pivotal role in transforming raw data into actionable insights that drive strategic business decisions. You'll go beyond a typical warehouse developer role, working cross-functionally with various departments to understand their workflows, model their data, and build the connective tissue that makes the business move faster. You'll own the end-to-end lifecycle of data products, from identifying a business need to building dbt models and ensuring transformed data is accessible where it's needed most.

Responsibilities

• Act as a lead developer for the dbt project
• Build performant, modular, and well-tested models that turn data into a reliable source of truth
• Apply software engineering rigor to the data stack including version control, documentation, unit testing, and CI/CD
• Partner with business leads across the company to identify manual processes that can be streamlined through data automation
• Bridge the gap between the warehouse and the business by ensuring data actively drives operational tools and decision-making
• Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and enhance data quality
• Act as a consultant to business leads, understanding underlying business logic and proposing better ways to structure data
• Translate loosely defined business requirements into robust, automated technical solutions
• Work closely with stakeholders to define data quality standards and establish feedback loops

Requirements

• 3+ years of experience in a high-growth data environment (Analytics Engineer, Data Engineer, or Technical Data Analyst)
• Deep, practical knowledge of dbt and cloud warehouses such as BigQuery
• Expert-level SQL for writing complex, clean, and performant queries
• Python literacy for reading code, writing scripts for data manipulation, and handling APIs
• Comfortable using AI tools such as Cursor, GitHub Copilot, and LLMs to write code faster and debug
• Ability to work independently, manage own roadmap, and own the entire warehouse architecture
• Exceptional communication skills to explain technical solutions to non-technical stakeholders
• Experience with workflow automation tools like n8n or Zapier
• Experience with BI/semantic platforms like Looker or Thoughtspot
• Industry experience in Payments, FinTech, Banking, or Cryptocurrency
• Familiarity with Reverse ETL

Benefits

• Hybrid working arrangement
• 30 days annual leave each year, excluding bank holidays
• 4 wellbeing days per year
• 1 company volunteering day per year
• Private Healthcare
• Pension
• Income Protection (long-term absence)
• Life Insurance
• Menopause Policy
• Enhanced Parental Leave policy