At a Glance
- Tasks: Own the end-to-end data wrangling process for large financial datasets.
- Company: Exciting London-based startup focused on innovative data solutions.
- Benefits: Competitive salary, equity options, and a vibrant office environment.
- Other info: Join a small, dynamic team with opportunities for growth and learning.
- Why this job: Make a real impact by shaping data that drives major financial decisions.
- Qualifications: 3–5 years of experience in building data pipelines or ML systems.
The predicted salary is between 50000 - 65000 £ per year.
Arctal, a London-based startup, is seeking a full-time in-office data engineer to own data wrangling end-to-end: ingestion, cleanup, storage, transformation and distribution of large financial datasets from PDFs.
You'll architect a scalable data pipeline, integrate AI agents, and ensure data quality so that datasets inform millions of dollars in decisions.
3–5 years building data pipelines or ML systems preferred; you’ll ship in a small team.
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AI Data Infrastructure Engineer | Equity & On-site London employer: Arctal
Arctal is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. As a startup, we offer our employees the unique opportunity to take ownership of their projects, collaborate closely with a small team, and contribute directly to impactful financial decisions. With a focus on professional growth and the integration of cutting-edge AI technologies, Arctal provides a rewarding environment for those looking to advance their careers in data engineering.
