Analytics Engineer (m/f/d)

Description

The company launched in 2021 and sells groceries and household essentials through a mobile app, delivering from a range of over 3,000 items within minutes across Germany and the Netherlands.

The business runs around 160 hubs, reaches more than 22 million people and employs over 10,000 colleagues, including a fully employed rider fleet. It generated more than €550m in revenue in 2025.

The company is now moving from building its presence to growing its impact, with fresh investment from partners including Prosus, Mubadala, Bond, DoorDash, Btomorrow Ventures and REWE.

You will sit in the Analytics Engineering team inside the Operations department and work as a strategic partner to Customer Care, Operations, Finance and Revenue teams.

You will have a high degree of autonomy and own your domain from stakeholder relationships through to the long-term development of the reporting landscape.

Responsibilities

• Own the dbt transformation layer and the downstream Looker and Lightdash reporting surfaces.
• Turn raw data into a trusted, scalable source of truth.
• Find technical debt and introduce modern approaches so the data foundations stay fast and easy to extend.
• Lead and develop a large part of the reporting landscape, including the health, accuracy and roadmap of data models for core business functions.
• Work closely with business leaders to understand their problems and shape the data solutions they need, rather than only fulfilling requests.
• Serve as the technical link between Product, Engineering and the business, so the data infrastructure keeps pace with product growth.
• Champion CI/CD, thorough testing and version control as part of a growing team.

Requirements

• You think about the business reason behind every model and enjoy learning the detail of operations and finance to build better models.
• You have extensive experience with SQL, dbt and Looker or a similar BI tool, and a deep understanding of cloud data warehouses.
• You have mastered SQL, ideally on Google BigQuery, and have modelled large, complex datasets.
• You have proven experience using dbt to build robust SQL models.
• You are comfortable writing LookML to build intuitive downstream views.
• You build data you can trust, write clean code, document your work and test rigorously.
• You communicate clearly in English and can turn complex technical topics into actionable insights for non-technical stakeholders.

Conditions

The base salary is €65,000.00 to €75,000.00 gross per year for a full-time role of 40 hours per week.

The role is based in the company's office in Berlin.

Every applicant is assessed on skills alone, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion.

Benefits

• A €1,000 annual learning and development budget and access to individual coaching.
• 26 days of vacation, increasing by 1 day per year up to a maximum of 30 days.
• A mobility budget of 35 EUR per month toward a Deutschland Ticket.
• A discount on Urban Sports Club membership.
• Company pension options.
• Unlimited access to the Prosus Academy e-learning platform, including online German courses.
• Online discounts through Corporate Benefits and Future Bens.
• A discount on your personal orders from the company, and the chance to try new products first.
• A modern, dog-friendly office in central Berlin with many lunch options within a short walk.