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

Nominate & Attend

Senior Data Engineer

Fruition Group
Bradford
4 days ago
Create job alert

Job Title: Senior Data Engineer
Location: Leeds, on-site 2x per week
Salary: Up to £85,000

Why Apply?
Our client is looking for a talented Data Engineer to play a key role in their ongoing digital transformation. This full-time, permanent position offers the chance to develop the initial data strategy, design scalable pipelines, and create a data lake that will be central to their reporting initiatives. If you are experienced in managing cloud-based data infrastructures and eager to drive innovative solutions, this role is perfect for you.

Data Engineer Responsibilities

  • Design and maintain scalable, automated data pipelines to ingest, process, and deliver quality data across internal systems.
  • Lead the setup of a centralised data lake to unify data from various sources, supporting BI and analytics needs across the business.
  • Partner with teams across the business, including Product, Analytics, and IT, to ensure data requirements are met and that systems align with business goals.
  • Continuously improve data workflows by identifying optimisation and automation opportunities to enhance system performance.
  • Guide junior engineers by providing mentorship and fostering best practices within the data team.
  • Stay current with data engineering technologies and innovations, ensuring the infrastructure remains scalable and future-ready.

Data Engineer Requirements

  • Demonstrated experience as a Data Engineer, with a proven track record of designing and managing scalable data pipelines.
  • Experience in a similar capacity, with a focus on designing and implementing robust data pipelines and infrastructure.
  • Thorough knowledge of ETL processes, with the ability to optimize data extraction, transformation, and loading.
  • Extensive commercial expertise with AWS, including services like Glue, Data Catalog, R and large-scale data storage solutions such as data lakes.
  • Excellent analytical and problem-solving skills, with the ability to enhance and streamline complex data processes.
  • Strong communication skills, with experience working alongside technical and non-technical teams.

What's in it for me?

  • Influence the data strategy and define data architecture from the outset, a unique opportunity to set the direction without any pre-existing frameworks!
  • Flexible working arrangements, including remote work options.
  • A collaborative, forward-thinking work environment where innovation is encouraged.
  • Opportunities for continuous professional growth and development within a fast-growing, tech-driven company.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - dbt, Snowflake, AWS, Airflow

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.