Senior Data Platform Engineer

Senior Data Platform Engineer

Manchester, Cheltenham or London

We are seeking a skilled Data Engineer to join our Engineering team, responsible for designing, building, and optimising scalable data pipelines that power advanced analytics and machine learning solutions.

You will play a key role in enabling data-driven decision-making by delivering high-quality, reliable datasets to tools such as Amazon Sage Maker and other analytics platforms.

We are looking for a Data Engineer to work closely with the Data Science team to develop robust data pipelines that feed analytics and machine learning tools such as Amazon Sage Maker and third-party platforms like Databricks.

You will leverage AWS technologies such as EMR, S3, EKS and Airflow to process and orchestrate high-volume datasets, ensuring solutions are scalable, resilient and cost-efficient.

You will also play a key role in embedding data loss prevention (DLP) principles and controls into data pipelines to protect sensitive information, while ensuring data is reliable, accessible, well-governed and optimised for downstream consumption.

• Strong experience in data engineering within AWS cloud environments.
• Hands-on experience with AWS big data technologies such as EMR, S3 and Sage Maker.
• Proficiency in Python for building scalable data pipelines and processing frameworks.
• Experience with Apache Spark for distributed data processing.
• Experience designing and maintaining scalable batch and real-time data pipelines.
• Solid understanding of ETL/ELT design patterns and data modelling techniques.
• Experience with workflow orchestration tools such as Apache Airflow (ideally deployed on AWS).
• Familiarity with containerisation and orchestration using Docker and Kubernetes (EKS).
• Experience with infrastructure as code (e.g. Terraform) and CI/CD/Git Ops practices.
• Proven ability to optimise performance and reduce cloud costs through partitioning, clustering and workload management.
• Understanding of data security principles, including data loss prevention (DLP).

• Experience with Databricks or similar third-party big data platforms.
• Knowledge of real-time streaming technologies (e.g. Kafka, Kinesis).
• Experience implementing data governance and compliance frameworks.
• Familiarity with monitoring and observability tools in AWS environments.
• Exposure to Lakehouse or modern data platform architectures.

Jobs are provided by the Find a Job Service from the Department for Work and Pensions (DWP).