Analytics Engineer

Our team focuses on the end to end lifecycle for partners on our platform, and supports customers and partners in their moments of need. As part of a multidisciplinary team, you will transform raw data into clean, logical structures optimised for analysis and decision-making. You will work closely with Product Analysts, Data Engineers, and Product Managers to ensure data is actionable for product development, behavioral analysis, and operational efficiency., * Provide clean, transformed data ready for analysis by designing and building scalable data models (using Kimball or Inmon techniques) within our data warehouse.

• Partner closely with Product Analysts to understand their data requirements for tracking user behavior, measuring KPIs, and designing experiment (A/B testing) frameworks.
• Apply software engineering best practices to analytics code, including version control (Git), testing, and CI/CD for models built with dbt and SQL.
• Create and maintain reliable data workflows and pipelines using modern tools like Airflow and dbt.
• Connect data models to visualisation platforms like Tableau or Looker, ensuring a "single source of truth" and support with maintaining a high-quality and well-governed semantic layer for use in analyst-owned data products.
• Maintain comprehensive data documentation and definitions to ensure metrics are consistent and well-understood across the Customer & Partner Care pillar.
• Contribute to shared tools and engineering standards within the wider JET data community.

• Proven experience in an Analytics Engineering or Data Engineering role, ideally within a fast-paced digital product environment.
• Advanced SQL skills and hands-on experience applying data modelling techniques to complex, real-world data problems.
• Production experience with dbt for transformation and Airflow for orchestration, building and maintaining production-level ETL/ELT data pipelines.
• Proficiency in Python for building data pipelines, scripting and automation.
• Proficiency in cloud data warehousing platforms, such as Google BigQuery or similar.
• A strong grasp of software engineering principles, including version control (Git) and automated testing methodologies in a data environment.
• A logical thinker with keen attention to detail and a sound understanding of relational data models.
• A collaborative mindset, eager to share knowledge and explain technical data concepts clearly to both technical peers (Analysts) and non-technical stakeholders.

Just Eat Takeaway.com might be the place for you. We're a leading global online food delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe., At JET, this is on the menu: Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. Inclusion, Diversity & Belonging No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.