Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer (AWS/Snowflake)

Delaney & Bourton
Leeds
2 days ago
Create job alert

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


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer | Cambridge | Greenfield Project

Senior Data Engineer - Azure, BI & Data Strategy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.