Senior Data Engineer
- Design and build scalable data pipelines, data models, and feature stores to support analytics and ML workloads.
- Shape the technical and architectural direction of the Data Engineering function.
- Deploy and manage cloud-native data applications on AWS using CI/CD pipelines to automate builds, testing, and releases.
- Ensure the technical quality, performance, and reliability of production-grade data pipelines through strong observability and engineering best practices.
- Have strong experience in Python and SQL.
- Are skilled in data modelling and building optimised and efficient data marts and warehouses in the cloud.
- Have built data pipelines with tools like Spark, Airflow, and AWS services like S3, SQS, Glue, ECS or EMR.
- Work with modern data formats such as Parquet and Iceberg for efficient storage and querying in our data lake.
- Are comfortable working with both real-time and batch data workloads, applying modern data transformation and orchestration patterns.
- Have worked with Infrastructure as Code (Terraform) and containerization (Docker) to automate and standardize deployments.
- Have contributed to or maintained CI/CD pipelines (Jenkins, GitHub Actions) as part of production-grade data systems.
- Enjoy solving complex data problems and collaborating in a fast-moving environment.
- Think Big - We're building the future of rail
- Own It - We focus on every customer, partner and journey
- Travel Together - We're one team
- Do Good - We make a positive impact
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