Ofertas › Just Eat Takeaway.com
Just Eat Takeaway.com · London, United Kingdom · £50,000 - 80,000 per year
Salary: £50,000 - 80,000 per year Requirements: Demonstrable senior-level experience building and delivering data engineering solutions, including distributed systems, event-driven architectures, and large-scale data processing in 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, including 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 such as Gold/Silver/Bronze. Production experience with GCP, including BigQuery, Dataflow, and GCS, and AWS, including S3, Iceberg, Kinesis, and DynamoDB. Familiarity with OLAP and OLTP storage systems, and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark; ClickHouse is nice to have. 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; we integrate AI-assisted development tools such as Claude.ai, OpenAI, GitHub Copilot, and Cursor into our daily workflow. 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, aligning with central teams and shaping technical decisions beyond Insights & Enablement. 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 and bottom-up data modelling methodologies. Build and maintain Airflow-orchestrated ELT workflows across our retail media data platform, including attribution pipelines supporting campaign performance and incrementality measurement. Contribute to our 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 bridging BigQuery Gold tables to downst