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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Just Eat Takeaway.com - **Location:** London, UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Query Performance, Artificial Intelligence, Airflow, BigQuery, Cloud Computing, Code Review, Data Infrastructure, Python (Programming Language), Machine Learning, Reliability Engineering, SQL Databases, Data Streaming, Pulumi, Feature Engineering, Large Language Models, Core Data, Data Management, Terraform - **Published:** September 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2408d00d26210603 ## About the Role * SQL and dbt Mastery: Track record of designing modular, multi-layer dbt projects and writing clean, maintainable SQL. * Pipeline Design & Orchestration: Ability to design scalable pipelines from first principles using workflow orchestration tools like Airflow. * Python Proficiency: Experience writing clean, testable Python for pipeline logic, custom operators, and tooling. * Feature Engineering for ML: Strong understanding of point-in-time correctness, train/serve symmetry, and data freshness bounds. * Cloud Infrastructure & Optimization: Experience managing query performance and cloud costs in BigQuery or comparable environments. * Infrastructure as Code: Hands-on experience defining cloud infrastructure programmatically using tools like Terraform or Pulumi. * Reliability Engineering: Commitment to treating missed data SLAs as business impacts, adding preventative tests, and writing post-mortems. * Partner Collaboration: Ability to translate requirements into data contracts and communicate schema changes to internal partners. * Advanced Data Capabilities (Bonus): Familiarity with streaming frameworks, LLM fine-tuning pipelines, or managed ML training platforms. ## Description The AI Growth team builds the systems making JET's marketplace relevant for millions of customers. We develop JET's foundation model platform, serving embedding models and targeting systems for personalized offers. As a Senior Data Engineer, you will own our core data foundations. You will deliver reliable, scalable pipelines from schema design to SLA monitoring, making a lasting impact on our ecosystem. By partnering with data scientists and ML engineers, you will care for our customer-centric data needs and lead the transition to streaming-capable architectures through collaborative teamwork. These are some of the key components to the position: * Own the Data foundations: Design and maintain feature pipelines and datasets feeding JET's foundation model platform while ensuring freshness SLAs. * Drive Platform Excellence: Keep pipelines reliable by leading incident responses, tracking cloud spend, and implementing observability to prevent silent failures. * Collaborative Mentorship: Mentor engineers through code reviews and design discussions, helping one another succeed and raising the engineering bar. * Aim High on Architectures: Introduce streaming-aware and incremental patterns, balancing engineering complexity with cost, latency, and performance. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Why segmenting your infrastructure into tiers makes your infrastructure design better](https://www.wearedevelopers.com/videos/1960-why-segmenting-your-infrastructure-into-tiers-makes-your-infrastructure-design-better) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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