> Markdown version of [/jobs/ext/3520286-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3520286-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Just Eat Takeaway.com - **Location:** London, UK - **Experience:** Expert - **Salary:** £73,978.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Big Data, BigQuery, Cloud Computing, Cloud Database, Continuous Integration, Extract Transform Load (ETL), Data Mart, Data Warehousing, Cursor, Distributed Systems, Amazon DynamoDB, Data Flow Control, Python (Programming Language), Online Analytical Processing, Online Transaction Processing, OpenAI, DataOps, SQL Databases, Datadog, Business Intelligence Development Studio, GitHub Copilot, Large Language Models, Grafana, Apache Spark, Event Driven Architecture, Build Management, Data Lakes, AI Platforms, Apache Flink, Data Analytics, Apache Kafka, Vertica, Stream Processing, Data Pipelines - **Published:** October 2, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5905364965 ## About the Role * 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 Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.) * Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems healthy and well-monitored. * 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. * Comfortable working across a matrixed, cross-functional environment, able to operate effectively within shared platforms, align with central teams, and shape technical decisions beyond Insights & Enablement ## Description * 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. ## Related Videos - [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) - [".Net is too slow" was not an option](https://www.wearedevelopers.com/videos/100176-net-is-too-slow-was-not-an-option) - [Develop AI-powered Applications with OpenAI Embeddings and Azure Search](https://www.wearedevelopers.com/videos/828-develop-ai-powered-applications-with-openai-embeddings-and-azure-search) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Developing the Rich Text Editor for DeepL.com](https://www.wearedevelopers.com/videos/1172-developing-the-rich-text-editor-for-deepl-com) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)