Start Your Search Here

push notification bell

Would you like to receive notifications about jobs in Greater London?

push notification bell

You have blocked notifications

Oops! You have blocked notifications. Click here for more info

You have blocked notifications, please check your browser settings.

push notification bell

You're currently subscribed to job notifications

Want to change your notifications for job alerts?

push notification bell

Subscribe to notifications

You will no longer receive notifications

Job Search

IWSR

Greater London / Global

Senior Data Engineer

  • Hybrid

Job Description

IWSR is the world's most trusted source of beverage alcohol data, used by the biggest names in the industry across 160+ countries. We're a small, expert team with a big remit, and we're looking for a Senior Data Engineer who wants to own things, not just build them. This isn't a ticket-driven role inside a large platform team. You'll be one of two data engineers, working closely with an engineering lead, taking real ownership of production‑critical systems from day one.

What you'll actually be doing:

Owning and improving the data ingestion pipeline that powers our Global Database

Leading the migration of Excel‑based processes into production Python

Collaborating on Databricks migration work (GTR and data pooling)

Taking charge of our SQL Server environment, security, structure, day‑to‑day management

Working directly with non-technical stakeholders to translate data problems into business outcomes

What we're looking for:

We care less about your CV checklist and more about how you work. The strongest candidates tend to:

Think in problems, not just technologies — "here's what was broken and here's how I fixed it"

Be comfortable inheriting messy, real‑world systems rather than always building green field

Have worked in small teams where you had to figure it out yourself — no dedicated platform team, no safety net

Show an engineering mindset: careful, methodical, aware of what goes wrong in production

Technically, you'll need solid Python (data pipelines, production code), hands‑on SQL Server experience, and genuine Databricks / PySpark exposure.

AWS familiarity and comfort with AI‑assisted dev tools (Copilot, Cursor, Claude Code) are a plus.

If you've ever built something a bit scrappy to solve a real problem, a quick front end, a workaround that became the system, we'd like to hear from you.

Location & Experience

Central London, hybrid (3 days in office)

5–7 years' experience in data engineering or adjacent role

#J-18808-Ljbffr

Apply Now

Similar Opportunities

View all jobs