National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Leeds
3 weeks ago
Create job alert

Data Engineer - AWS, Glue | £60,000 | Hybrid (Leeds)

Permanent | Data-Driven Projects | Cloud-Native Tech Stack

We're looking for a skilled Data Engineer to join a growing data team working on modern, cloud-based solutions. This is a great opportunity to take ownership of ETL pipelines and data infrastructure within a collaborative, forward-thinking environment.

You'll play a key role in designing and maintaining scalable data solutions using AWS Glue, contributing to business-critical analytics and reporting initiatives.

What You'll Be Doing:

Building and optimising ETL pipelines using AWS Glue
Designing and managing data workflows across the AWS ecosystem
Working with large-scale datasets and modern data lake architectures
Collaborating with analysts, engineers, and product teams to support data needs
Supporting best practices in data governance, quality, and security

What We're Looking For:

Strong experience with AWS Glue, S3, Lambda, and related services
Proven track record in data engineering or ETL development
Proficiency in Python or PySpark for data processing
Familiarity with data lake, data warehouse, and cloud-first environments
Comfortable working in agile teams and hybrid work settings

Location: Hybrid - 2-3 days a week in Leeds

Salary: £60,000 + benefits

Apply now or email for more information

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.