Analytics Engineer, Revenue, Purchase & Order

In this Analytics Engineer role, you build scalable data products and pipelines that empower analytics and machine learning across Revenue, Purchase, and Order domains. You own data quality, observability, and production reliability to support business decisions and impact. You collaborate with data scientists, engineers, and product teams to deliver trusted data foundations and durable solutions. This role sits at the intersection of data, engineering, and product, offering opportunities to shape data capabilities at scale.

• share options programme
• 25 days of paid annual leave
• Newest MacBook models
• Learning budget and development days
• Hybrid work model with office days
• Home office setup budget

• Design, develop, and evolve reliable, cost-efficient data products and pipelines for analytics and ML use cases across domains
• Embed automated testing, validation, and quality controls throughout the data lifecycle
• Improve monitoring and alerting to detect and address data issues before they impact downstream users
• Take end-to-end ownership of production data systems, including incident investigation and durable fixes to boost resilience
• Collaborate with cross-functional teams (Backend, Product, Business) to translate needs into trusted data solutions
• Be an active member of the Analytics Engineering Guild to share tooling, standards, and best practices

• Experience as Analytics Engineer, Data Engineer, or in a related data role
• Strong SQL and data warehousing fundamentals
• Hands-on experience with dbt or similar data transformation framework
• Experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Understanding of data modeling principles
• Familiarity with workflow orchestration tools (Airflow, Dagster)
• Experience handling high-volume, business-critical data with emphasis on quality and reliability
• Excellent written and verbal English communication

• Strong communication with technical and non-technical audiences
• Cross-functional collaboration
• Problem-solving and pragmatic action bias
• SQL
• Data warehousing fundamentals
• dbt or equivalent