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

Nominate & Attend

Data Engineer

Evesham
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Annual Salary: Up to £60,000
Location: Evesham, Worcestershire
Job Type: Full-timeJoin our client's team as a Data Engineer, where you will play a crucial role in developing, building, and maintaining robust data pipelines to enhance business operations. This position offers the opportunity to collaborate across departments, ensuring the availability and integrity of data, and driving actionable insights to support strategic initiatives.

Day-to-day of the role:

Data Infrastructure & Pipeline Development:

Develop and maintain efficient and scalable data pipelines and ETL processes.
Ensure data quality, consistency, and reliability through robust validation and monitoring frameworks.
Collaborate with the team to design and optimise data storage solutions.
Data Integration & Automation:

Automate data ingestion and transformation workflows to enhance efficiency.
Implement best data architecture and governance practices.
Work closely with IT and third-party providers for seamless data integration.
Troubleshoot and resolve issues related to data pipelines and performance.
Collaboration & Stakeholder Engagement:

Engage with stakeholders to understand data requirements and deliver solutions.
Support the delivery of insights and analytics to inform business decisions.
Assist in the optimisation of business intelligence tools to enhance data accessibility.
Innovation & Continuous Improvement:

Stay updated with emerging technologies and best practices in data engineering.
Participate in initiatives to continuously improve data management and reporting.

Required Skills & Qualifications:

Strong experience in Data Engineering, with a solid background in data architecture and ETL pipeline development.
Proficiency in SQL, Python, and experience with cloud platforms like AWS, Azure, or Snowflake.
Understanding of data modelling, database management in ERP and CRM systems, and data warehousing concepts.
Experience with business intelligence and data visualisation tools (e.g., Tableau, Power BI) is desirable.
Excellent problem-solving skills and a methodical approach to safety.
Strong communication skills, capable of explaining complex data concepts to non-technical stakeholders.
Ability to work both independently and collaboratively in a fast-paced environment.Join our client's team and enjoy working in an environment that encourages innovation and offers numerous opportunities to contribute directly to the executive leadership team and progress your career. At our company, we are committed to creating an equitable and inclusive workplace for a diverse workforce.

To apply for this Data Engineer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in this role

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.