Senior Engineer, Data Engineering in London

Just Eat Takeaway is a leading global online 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.

We're looking for an experienced Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech at JET. This team sits at the heart of JET's retail media data platform, responsible for the infrastructure, pipelines, and data products that power how advertisers understand, optimise, and grow their campaigns on the JET platform.

This is not a typical Senior Data Engineer role. You'll work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers, product managers, and ML engineers to turn complex data challenges into reliable, scalable production systems.

We're building a lot: a TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll work alongside JET's central Data & Analytics organisation, Platform Engineering, and other technology teams aligning on shared infrastructure standards, contributing to joint working groups, and ensuring retail media data products integrate cleanly with the broader JET data ecosystem.

As a senior member of the team, you'll do more than code; you'll help define best practices, mentor engineers, and raise the technical bar across the team.

• Design and build scalable data pipelines and event streaming architectures across batch and near-real-time workloads, with a focus on reliability and data quality.
• Develop and maintain Gold Layer data marts in BigQuery using dbt Core, with a strong grasp of top-down/bottom-up data modelling methodologies (Kimball, OBT, or equivalent).
• Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform, including attribution pipelines supporting campaign performance and incrementality measurement.
• Contribute to Retail Media event tracking infrastructure, schema governance, SLA/SLO monitoring, and data quality validation across the unified events pipeline.
• Begin to contribute to architecture discussions beyond your immediate team, identifying improvement points in individual components and the system as a whole, with a clear path to shaping platform-level decisions at Staff level.
• CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog.
• Collaborate with ML engineers and data scientists to productionise models and agentic tooling built on internal AI platforms, with hands-on use of AI-assisted development tools such as Claude.ai, OpenAI, GitHub Copilot, and Cursor as part of your everyday engineering workflow.
• Work cross-functionally with Data & Analytics, Platform Engineering, and other JET technology teams, contributing to shared standards, joint initiatives, and platform-level decisions that affect the broader data estate.

Demonstrable senior-level experience building and delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing (batch and streaming). Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus. Deep expertise in data pipeline design: batch vs. Hands-on experience with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation at scale. Solid grounding in data warehouse and data lake architecture, including dimensional modelling and layered architectures (Gold/Silver/Bronze or equivalent). Production experience with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg, Kinesis, DynamoDB), you're comfortable operating across both clouds.

Active engagement with the evolving AI/ML tooling landscape — you integrate AI-assisted development tools (Claude.ai, OpenAI, GitHub Copilot, Cursor, or equivalent) into your daily workflow and are curious about how LLMs and agentic systems are reshaping how data products are built and operated. A track record of contributing to and shaping design decisions beyond your own work, through standards, technical documentation, or supporting the growth of colleagues.

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. It's a competition for something incredibly valuable – our customers' choice. They guide every interaction, every decision, every innovation. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition.

Inclusion, Diversity & Belonging: 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.