Senior Data Engineer — Scalable Data Platforms & AI Tooling

takeaway; United Kingdom; On-site; GBP 90,000 - 130,000; Full time

Job summary

Just Eat Takeaway.com is seeking a Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech at JET. You will design and build scalable data pipelines and contribute to the data platform powering advertiser insights and campaign optimization across the global retail ecosystem.

You will work with Python, SQL, and cloud data warehouses, implement dbt Core and Airflow, and collaborate with ML and analytics teams to productionise models and tooling.

Qualifications

• 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. streaming, ETL/ELT, schema design, partitioning, and efficient storage patterns.
• 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.
• Familiarity with OLAP and OLTP storage systems and an eagerness to build expertise in stream processing technologies such as Apach

Responsibilities

• 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.
• Support the development of a semantic layer (Cube.dev/Helix) bridging BigQuery Gold tables to downstream BI tooling.
• 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.
• Embed DataOps best practices across the team: 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.
• Mentor engineers within the team and contribute to technical documentation, decision-making frameworks, and engineering standards.

Skills

Senior data engineering

Python

SQL (BigQuery)

dbt Core

Airflow

Data warehousing

Clouds (GCP/AWS)

Big data architectures

Tools

dbt Core

Airflow

Claude.ai

OpenAI

GitHub Copilot

Cursor

Job description

Just Eat Takeaway.com is seeking a Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech at JET. You will design and build scalable data pipelines and contribute to the data platform powering advertiser insights and campaign optimization across the global retail ecosystem.

You will work with Python, SQL, and cloud data warehouses, implement dbt Core and Airflow, and collaborate with ML and analytics teams to productionise models and tooling.