AI Data Infrastructure Engineer | Equity & On-site London

Arctal; Greater London; Vor Ort; GBP 70.000 - 120.000; Vollzeit

Benefits dieser Stelle

Equity

Office near Old Street

Competitive salary

Zusammenfassung

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.

Qualifikationen

• 3–5 years building data pipelines or ML systems.
• Shipped in a small team (2–30 people).
• Proficient in Python and SQL, with strong data quality focus.

Aufgaben

• Own data wrangling end-to-end: ingestion, cleanup, storage, transformation and distribution.
• Architect scalable data pipelines and integrate AI agents.
• Ensure data quality and reliability for datasets used in decision making.
• Collaborate across teams to ship data products and improvements.

Kenntnisse

Python

SQL

Data wrangling

Distributed systems

Data quality

Tools

Claude Code

Cursor

Jobbeschreibung

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.