Senior Data Engineer: AI-Powered Data Platform & BigQuery

Just Eat Takeaway.com; Ivy Chimneys; On-site; GBP 95,000 - 130,000; Full time

Job summary

Just Eat Takeaway.com seeks an experienced Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech. You will shape the data foundation across event streaming, Gold Layer marts in BigQuery, and AI-powered tooling, collaborating with data scientists, ML engineers, and product managers.

You’ll mentor engineers and help define platform standards. You’ll contribute to architecture discussions, embed DataOps practices, and work with tools like Claude.ai, OpenAI, GitHub

Qualifications

• Demonstrable senior-level experience delivering data engineering solutions, including distributed systems and large-scale data processing.
• Strong Python skills and solid SQL across BigQuery or equivalent cloud data warehouses; familiarity with Scala or Java is a plus.
• Hands-on experience with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation at scale.

Responsibilities

• Design and build scalable data pipelines and event streaming architectures across batch and near-real-time workloads, focusing on reliability and data quality.
• Develop and maintain Gold Layer data marts in BigQuery using dbt Core with top-down/bottom-up data modelling.
• Build and maintain Airflow-driven ELT workflows across the retail data platform, including attribution pipelines and incrementality measurement.

Skills

Python

SQL

BigQuery

dbt Core

Airflow

GCP

AWS

Kafka

Spark

Data Modeling

Tools

dbt Cloud

Cube.dev

Helix

Grafana

Datadog

Kinesis

Iceberg

Job description

Just Eat Takeaway.com seeks an experienced Senior Data Engineer to join the Insights & Enablement team within Retail Media Tech. You will shape the data foundation across event streaming, Gold Layer marts in BigQuery, and AI-powered tooling, collaborating with data scientists, ML engineers, and product managers.

You’ll mentor engineers and help define platform standards. You’ll contribute to architecture discussions, embed DataOps practices, and work with tools like Claude.ai, OpenAI, GitHub