AWS Data Engineer

Job Title: AWS Data Engineer

Job Location: London, UK/ Hybrid

Job Type: 12 Months FTC

Job Description:

Need Expert in Python Pyspark, AWS, Cloud, AWS Services, AWS Components

Designing and developing scalable, testable data pipelines using Python and Apache Spark

Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3

Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing

Contributing to the development of a lakehouse architecture using Apache Iceberg

Collaborating with business teams to translate requirements into data-driven solutions

Building observability into data flows and implementing basic quality checks

Participating in code reviews, pair programming, and architecture discussions

Continuously learning about the financial indices domain and sharing insights with the team

WHAT 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 pipelines


• Has experience with or is eager to learn Apache Spark for large-scale data processing


• Is 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 heroics

Nice-to-haves:

• It s great (but not required) if you also bring:


• Experience with Apache Iceberg or similar table formats


• Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions


• Exposure to data quality frameworks like Great Expectations or Deequ


• Curiosity about financial markets, index data, or investment analyticsjOBJ