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# AWS Data Engineer

- **Company:** Aws
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Continuous Integration, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Monitoring of Systems, Python (Programming Language), Machine Learning, SQL Databases, Data Streaming, Data Processing, Apache Spark, SC Clearance, Data Lakes, AWS Data Analytics, Apache Kafka, Data Management, Data Pipelines
- **Published:** September 12, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/aws-data-engineer/46622208

## About the Role

technology landscapeEngage with clients and technical stakeholders to understand requirements, explain technical decisions and provide recommendationsTroubleshoot complex data, performance and integration issues across development and production environmentsDefine and promote data engineering standards, reusable patterns and best practicesMentor and support other engineers, encouraging knowledge sharing and continuous improvementWhat We're Looking ForSignificant hands-on experience as a Data Engineer, ideally within complex enterprise environmentsStrong experience designing and delivering data solutions on AWSStrong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the right services for different requirementsStrong Python and SQL skillsExperience designing and building scalable ETL/ELT pipelines and data processing workflowsGood understanding of data modelling, data lakes, data warehouses and modern data platform
architecturesExperience with infrastructure-as-code, ideally TerraformExperience with CI/CD and automated testing for data engineering workloadsGood understanding of data security, governance, access control and data qualityExperience making technical design decisions and providing engineering leadership within multidisciplinary teamsStrong troubleshooting and problem-solving skillsConfidence working directly with clients and communicating technical concepts, decisions and recommendationsExperience supporting and mentoring other engineersCurrent SC clearance is highly desirable given the nature and timescales of client engagements. Candidates must be eligible to obtain and maintain SC clearance.AWS certification at Associate or Professional levelExperience with streaming and event-driven data technologiesExperience with technologies such as Spark, Kafka or DatabricksExperience delivering data platforms within public sector, defence or other regulated environmentsExperience working within
secure environments and understanding associated security and assurance requirementsExposure to machine learning or AI workloads and the data platforms that support them #J-18808-Ljbffr

## Description

and support the development of other engineers within the team.What You'll DoDesign, build and maintain scalable data platforms and data pipelines within AWSDevelop robust ETL/ELT processes for ingesting, transforming and processing data from multiple sourcesDesign and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologiesDesign data models and storage approaches appropriate to analytical and operational requirementsDevelop solutions using Python, SQL and modern data engineering frameworksApply infrastructure-as-code and automation approaches to the deployment and management of data platformsBuild data quality, validation, monitoring and observability into engineering solutionsEnsure security, governance and data protection requirements are considered throughout solution design and deliveryWork with architects, cloud engineers, security specialists and other SMEs to ensure solutions integrate effectively across the wider


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