3 of 3 AWS Data Pipeline Jobs in London

Data Engineer Active SC essential Croydon - up to 1 day per week £500/day outside until the end of June 2026 Please note, this in an outside IR-35 position on a Statement of Work basis, ideally we would prefer candidates with experience working to those arrangements. Essential skills: AWS Data Engineering Snowflake … Databricks Responsibilities: Develop and manage data models, schemas, and metadata to support analytics and reporting needs. Collaborate with Data Analysts, Scientists, and Business Analysts to ensure data availability and usability. Implement data quality checks, validation routines, and monitoring to ensure data integrity and reliability. Optimise data workflows for … performance, cost-efficiency, and maintainability using tools such as Azure Data Factory, AWS Data Pipeline for Data Orchestration, Databricks, or Apache Spark. Support the integration of data into visualisation platforms (e.g. Power BI, ServiceNow) and other analytical environments. Ensure compliance with data governance, security, and privacy More ❯

SR2 are supporting a large central government data modernisation programme seeking two Engineers/DevOps Engineers to enhance and secure a cloud-based data platform built on AWS . The work spans an Amazon Data Warehouse environment and a Fast Data Pipeline ingesting and transforming data from multiple government and third-party sources. Key Responsibilities: Catalogue and remediate high-priority vulnerabilities across application, infrastructure, and pipeline layers. Enhance CI/CD pipelines, container orchestration, and monitoring across AWS and Kubernetes. Build automation around data ingestion, transformation, and feed management. Improve operational resilience and graceful failure handling across services. More ❯

Use modern cloud-native tools and CI/CD platforms to maintain secure, observable, and high-performing environments. Relevant Skills: Essential Skills: Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems, particularly Git Desirable Skills: Experience with infrastructure as code tools such as Terraform or CloudFormation Exposure to Apache Spark for distributed data processing Familiarity with workflow orchestration tools such as Airflow or AWS More ❯