AI Data Infrastructure Engineer | Equity & On-site London

Arctal; Greater London; On-site; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Equity

Office near Old Street

Competitive salary

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data wrangling

Distributed systems

Data quality

Tools

Claude Code

Cursor

Job description

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.