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BI Developer - 12 Month FTC

Too Good To Go
CompanyToo Good To Go
CategoryEngineering
LocationKøbenhavn
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted30 Jun 2026
Last verified2 Aug 2026
SourceEmployer career page (greenhouse)
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Description
🌏  Mission:  At Too Good To Go, we have an ambitious mission: to inspire and empower everyone to fight food waste together. More than 1/3 of all food produced in the world is wasted, which has a huge impact on our planet - 10% of greenhouse gas emissions, to be exact.  🌱   Product:  Too Good To Go operates the world's largest marketplace for surplus food, where we connect food businesses with consumers who can buy and enjoy it at 50 %+ off retail value. Alongside our app, we create educational tools, operate an end-to-end surplus food management solution, and influence legislation to help reduce food waste. 📈  Scale:  We’re growing fast: Our community of 133 million registered users and 261,000+ active partners across 20 countries, have together already saved 517+ million meals from going to waste - avoiding over 1.4M tonnes of CO2e from entering the Earth’s atmosphere!  ⭐️  Impact: We are a certified B Corp social impact company. Too Good To Go was named in Fast Company's list of the World's Most Innovative Companies and World Changing Ideas. We are also honoured to be included in TIME’s 100 Most Influential Companies. Most recently, we won Apple’s coveted Cultural Impact Winner.  About the role We’re looking for a BI Developer to join the Parcels Planning team on a 12 month fixed-term contract. This is a strategic BI engineering role focused on designing the reporting architecture, semantic models and data foundations that will enable the Parcels business to scale over the next 18–24 months. The Parcels business is transitioning towards a governed, Looker-centric analytics platform with reusable semantic models, trusted metrics and self-service reporting. You’ll work closely with the Planning, Commercial, Data, Finance and Logistics teams to develop better reporting, improve visibility of performance, and build tools that help teams make faster, better decisions. This is not simply a dashboard development role. You'll be responsible for designing scalable reporting architecture, defining reusable business logic, and building governed analytics products that become core operational assets.  The right person will be able to connect technical capability with business needs. You’ll help us move away from manual reporting, fragmented Google Sheets and inconsistent definitions, towards a stronger, more governed reporting environment. What you’ll do You'll own the technical design and development of BI products, semantic models and reporting solutions supporting the Parcels business. You’ll work with the AD of Planning and the wider team to define the reporting and tooling required over the next 12 months. You'll define technical standards for BI development, modelling, documentation and governance, helping establish best practices across reporting and analytics. You'll design and develop performant LookML models, Explores and dashboards that support commercial performance, forecasting, pricing, inventory optimisation, parcel composition and operational planning. You'll partner with Data Engineering and Analytics Engineering to influence data models, warehouse structures and transformation logic, ensuring analytical datasets are optimised for scalable reporting. You’ll help replace manual reporting and Google Sheets-based processes with more scalable, governed and reliable reporting solutions. You’ll support the development of planning tools that make forecasting, performance tracking and decision-making easier for the team. You’ll work with Data teams to make sure the right tables, definitions and metrics are available, documented and trusted. You’ll help improve data governance by creating clear definitions, reusable reporting logic and consistent ways of measuring performance. Requirements Experience in BI Engineering, Analytics Engineering or modern Business Intelligence developme
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