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Data engineer on Just Eat Takeaway's Batch Data Tools team, building batch and streaming pipelines on the Mobius data platform. Day-to-day involves coding in Python/Java/Scala, working with Spark, DBT, Kubernetes and AWS data services, and improving platform observability and developer experience.
Analytics Engineer at Just Eat Takeaway.com building and scaling data pipelines and dashboards that power global reporting. Day to day: partnering with analysts and stakeholders to turn complex data into reliable insights using dbt, SQL, Tableau, and cloud platforms, with a focus on data governance.
Senior Data Engineer on Just Eat Takeaway.com's Retail Media Tech (Insights & Enablement) team, building the data platform behind advertiser campaigns: designing scalable pipelines, Gold Layer data marts in BigQuery with dbt Core, and Airflow-based ELT workflows, working alongside data scientists, ML engineers, and product managers.
Senior Data Engineer on Just Eat Takeaway.com's Insights & Enablement team (Retail Media Tech): designs and scales data pipelines, builds Gold Layer data marts in BigQuery with dbt Core, and maintains Airflow-based ELT workflows, while partnering with data scientists and ML engineers to productionise AI tooling and mentoring teammates.
Senior Data Engineer on the Insights & Enablement team within Retail Media Tech at Just Eat Takeaway.com, shaping the data platform and building scalable pipelines and data products that help advertisers optimize campaigns. Core stack: event streaming, ELT/ETL, BigQuery Gold Layer marts with dbt Core, orchestrated with Airflow.
Data Engineer at Just Eat Takeaway.com in Amsterdam designing scalable ETL/ELT pipelines on GCP for the Partner and Sales data team, scaling measurement datasets for ML and analytics. Day to day involves building pipelines with Airflow, dbt, SQL, and Python in a hybrid role (3 days in the Amsterdam office).
Senior Data Engineer on the Insights & Enablement team within Just Eat Takeaway's Retail Media Tech, designing scalable data pipelines, maintaining Gold Layer data marts in BigQuery with dbt Core, and orchestrating ELT workflows in Airflow. Works with data scientists, ML engineers, and product managers to productionise AI tooling and improve data quality.
Builds and optimizes scalable ETL/ELT data pipelines and a semantic layer on Google Cloud Platform for Just Eat Takeaway's Partner and Sales data team, using Airflow and dbt, including AI-ready datasets that support ML and analytical AI use cases. Hybrid role: 3 days in the Amsterdam office, 2 days from home.
Platform engineer on the Batch Data Tools team within Global Intelligence Platforms, building and evolving Mobius — Just Eat Takeaway's Kubernetes-native, declarative analytics/data platform for batch and streaming pipelines. Day-to-day work centers on Python/Java/Scala, Spark, DBT, Kubernetes, Apache Iceberg, and AWS data services (S3, Glue, DynamoDB, SNS/SQS, Athena), with hybrid 3 days/week on
Senior Data Engineer on Just Eat Takeaway's Retail Media Tech Insights & Enablement team, building scalable data pipelines and data marts for the retail media data platform. Day-to-day work centers on dbt Core, Airflow, and BigQuery, with DataOps practices and exploration of AI tooling alongside data scientists and ML engineers.
Senior Data Engineer on Just Eat Takeaway.com's Retail Media Tech team in London, building the retail media data platform: event streaming and attribution pipelines, BigQuery/dbt Gold Layer data marts, Airflow ELT workflows, a semantic layer for BI, and AI-assisted tooling, while mentoring engineers and shaping platform-wide standards.
Data Engineer on Just Eat Takeaway.com's Promotion and Optimisation team in Amsterdam, building and maintaining the data marts, pipelines, and egress flows that power the promotions engine. Core stack includes SQL, Python, Google BigQuery, orchestration tools (Airflow/Dagster), and dbt.