Role Summary :Ready to build scalable data systems with real-world impact?Join us at FTSE Russell! We’re establishing a team of engineers passionate about data, software craftsmanship, and substantial impact. As a Software Data Engineer, you’ll help power the indices trusted by financial institutions worldwide. You’ll work in a modern AWS environment, build robust pipelines, and collaborate closely with product and business teams to deliver reliable, high-quality data solutions. We care about code quality, ownership, and helping each other grow. If you’re excited about building systems that matter, we’d love to meet you !WHAT YOU'LL BE DOING:
We are building the next-generation data platform at FTSE Russell — and we want you to shape it with us. Your role will involve:
• 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 analytics.