Direct message the job poster from Delaney & Bourton

Director - Technology / Digital Recruitment

Location: Largely Remote, Flexible, occasional travel to Leeds HQ (suited to East Midlands, Yorkshire, Manchester and North-East)

Package: Market Leading with exceptional benefits

We’re looking for a number of Mid and Senior Data Engineers to play a pivotal role in shaping the future of data for a global fintech innovator. This is a transformative role, working on one of the organizations highest priority programmes, globally.

This isn’t just another data role; you’ll be at the heart of a major transformation: helping migrate from on-prem SQL Server to a cutting-edge Snowflake platform on AWS. Think scale, innovation, and the chance to redefine how data empowers millions of customers worldwide.

Your role:

• Lead the migration of enterprise data into Snowflake on AWS, ensuring it’s seamless, secure, and future-proof.
• Build and optimise high-performance data pipelines that power advanced analytics and real-time decision making.
• Drive data quality, consistency, and accessibility so the right insights land in the right hands, fast.
• Collaborate with analysts, data scientists, and global stakeholders to turn complex data into actionable impact.
• Keep the platform at the forefront of cloud technology, recommending new tools and best practices.

Why this role?

• You’ll join a fintech with the scale of an international organisation, but the agility of a start-up.
• You’ll be hands-on in shaping the company’s cloud data strategy, not just maintaining it.
• You’ll work in a collaborative, forward-thinking environment where your expertise drives global decisions.

If you’re passionate about AWS, cloud data engineering, and want to make a real difference on a global stage, this is the role for you.

Ready to build the future of data? Apply now.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Referrals increase your chances of interviewing at Delaney & Bourton by 2x