AWS Data Engineer

Job Title: AWS Data EngineerJob Location: London, UK/ HybridJob Type: 12 Months FTCJob Description:Need Expert in Python Pyspark, AWS, Cloud, AWS Services, AWS ComponentsDesigning and developing scalable, testable data pipelines using Python and Apache SparkOrchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3Applying modern software engineering practices: version control, CI/CD, modular design, and automated testingContributing to the development of a lakehouse architecture using Apache IcebergCollaborating with business teams to translate requirements into data-driven solutionsBuilding observability into data flows and implementing basic quality checksParticipating in code reviews, pair programming, and architecture discussionsContinuously learning about the financial indices domain and sharing insights with the teamWHAT YOU'LL BRING:Writes clean, maintainable Python code (ideally with type hints, linters, and tests like pytest)Understands data engineering basics: batch processing, schema evolution, and building ETL pipelinesHas experience with or is eager to learn Apache Spark for large-scale data processingIs familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR)Enjoys learning the business context and working closely with stakeholders Works well in Agile teams and values collaboration over solo heroicsNice-to-haves:Its great (but not required) if you also bring:Experience with Apache Iceberg or similar table formatsFamiliarity with CI/CD tools like GitLab CI, Jenkins, or GitHub ActionsExposure to data quality frameworks like Great Expectations or DeequCuriosity about financial markets, index data, or investment analyticsjOBJRegards,View email address on click.appcast.io #J-18808-Ljbffr