Senior Analytics Engineer (Multiple Domains)

Role overview

Join the analytics organization of a fast-growing online delivery platform as a Senior Analytics Engineer, working in one of three domains: Consumer, Merchant, or Ads. You will sit inside a cross-functional team, partnering closely with Data Scientists and product stakeholders to turn business questions into reliable, well-modeled data. This is a senior individual-contributor role with mentoring responsibilities and real influence over the wider data architecture.

Responsibilities

- Translate requests from business and product stakeholders into actionable metrics, dashboards, and reporting layers. - Build and maintain the data integrations, pipelines, and models that power a central data warehouse and downstream analytics. - Design complex pipelines with dependency control, orchestration, and auto-materialization logic. - Shape a self-service data modeling strategy and partner with analytics and other stakeholders to roll it out. - Raise data literacy across the domain through documentation and hands-on training. - Mentor and guide more junior engineers on the team.

Requirements

- 5+ years of experience working as an Analytics Engineer or BI Developer. - Strong hands-on background with data integrations, pipelines, data models, metric development, and dashboards. - Working knowledge of Snowflake, SQL, Airflow, DBT, and Looker (or comparable visualization tools such as Tableau or Power BI). - Advanced SQL skills, including the ability to write optimized queries against large datasets. - Solid business acumen and product-oriented thinking, with experience designing analytics and reporting data models.

Benefits and work setup

- Choose from tech hubs in Berlin, Stockholm, or Helsinki. - Hybrid, office-based, or remote work within the chosen location. - Exposure to large-scale geospatial and temporal real-time data across many markets. - Culture that emphasizes ownership, humility, learning, and treating people fairly.