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Data Product Developer


SaaS / Financial Infrastructure

Latest Job

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ABOUT THIS ROLE

  • / London, UK (Hybrid)
  • / Permanent
  • / £110k base
REF: 4371404519

Data Product Developer | £110k Base | London | AWS / Python / ETL

I’m partnered with a market leading SaaS business (backed by a major European financial infrastructure group) that is building out a brand-new data product team.

This is a genuinely exciting opportunity to join early in the lifecycle of a new data platform – helping design and build ingestion pipelines from the ground up.

The Role

You’ll join a small, fast-paced team responsible for building a new data product focused on ingesting, normalising and analysing complex datasets from asset management firms.

The data is messy, inconsistent and often unstructured (Excel, flat files, PDFs, bespoke formats etc). The opportunity is to architect robust Python based pipelines that can intelligently process and transform this into structured, usable outputs.

There’s also a forward looking AI/ML roadmap, particularly around classification and intelligent data extraction.

What You’ll Be Doing

  • Designing and building Python-based data ingestion pipelines
  • Working with ETL/orchestration frameworks (e.g. Dagster, AWS-native tools, Databricks or similar)
  • Handling complex, unstructured datasets
  • Deploying within AWS-based cloud infrastructure

What They’re Looking For

  • 3+ years’ experience in data product or data engineering roles
  • Strong Python with hands-on ETL/pipeline development
  • Experience working with messy, real-world datasets
  • Solid understanding of data structures, algorithms and statistical concepts
  • Cloud exposure (AWS preferred)
  • Comfortable operating in a small, fast paced team

Package

  • £110k base
  • Performance-based bonus
  • 3 days in office currently (moving to 4 later in the year)
  • London-based role (Canary Wharf)

At Orbis Group, we are committed to creating an inclusive and diverse workplace. Research indicates that candidates, especially from underrepresented backgrounds, often hesitate to apply for jobs if they don't meet every qualification.

If you're excited about a role but don't perfectly align with every requirement, we encourage you to apply. Your unique skills and experiences may be the perfect fit for the job or other opportunities that arise.

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