Analytics Engineer – Finance

Role Overview

You’ll be the founding analytics engineer in Finance, shaping our data infrastructure and analytical capabilities during a critical transformation. Your expertise in Python, DBT, SQL, and Databricks will drive operational efficiency, accelerate our month-end close, and deliver strategic insights that inform capital allocation and IPO readiness.

What You Will Do

Design and develop analytical features that surface actionable insights for Finance leadership, build, optimise and maintain production-ready ETL/ELT pipelines using DBT, Databricks and SQL, create scalable data models and analytical solutions using modern data modelling techniques, build and champion data quality and testing practices; catch errors before they reach stakeholders, collaborate across Finance to translate business requirements into technical implementations, advocate for modern data practices and continuous improvement of the stack.

Why It Might Be a Fit

If you’re motivated by ownership, curiosity and meaningful impact, and are driven to deliver consistent high performance, you’ll feel at home here. You’ll have autonomy and the trust to make good decisions and move quickly. And you’ll enjoy a real sense of purpose as you see the impact of what we’re building.

Requirements

• Hands-on production experience building and optimising ETL/ELT pipelines (minimum 3 years)
• Proficiency in SQL and Python; strong experience with DBT or equivalent modern data transformation tools
• Experience with Databricks or similar cloud data platforms, or willingness to ramp quickly
• Strong understanding of data modelling and analytics architecture
• Comfort working autonomously and managing priorities with ambiguity; ability to break down complex problems
• Demonstrated commitment to data quality, testing and accuracy; take pride in work that’s been thoroughly validated
• AI Fluency Level 3: In this role, you’ll redesign how Finance approaches data discovery and analysis using AI—not just automating your own work, but building patterns and tools that shape how the whole team questions data and validates insights.

Benefits

• Unlimited paid holiday
• Participation in our company share program
• Paid parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available after one year of service)
• An annual Learning budget of €300 (and more for high performers) to support your development
• Monthly ‘EDGE’ time to Explore, Develop, Grow, and Elevate yourself
• A work from anywhere policy with flexibility to work abroad for a few weeks each year
• Relocation options, available after one year
• Flexible, hybrid working options
• A home office setup budget to make your workspace your own and a monthly work-from-home allowance
• Claude tokens, so you can automate workflows and build smarter, more efficient ways of working