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

Apply Now

Data Engineer

Elford
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DataOps

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

AI Engineer (data science & software)

Data Engineer

£50,000 - £60,000 plus benefits including flexible working, generous holiday allowance, private healthcare, enhanced pension and lots more

Tamworth, B79 (remote / WFH – 2-3 days per month in the office)

Keywords: Data Engineer, Data Engineering, Data Analysis, SQL, ETL, Data Modelling, Python, PySpark, Azure, Data Models, Data Pipelines, Telecommunication, Telecoms, Fabric

My client, a well-established Telecommunications provider with an excellent reputation, is looking to recruit an experienced Data Engineer on a permanent basis.

Reporting to the Head of IT and guided by a team of experts, this newly created Data Engineer position has been introduced to enhance customer experience and drive efficiency through data. Experience in data engineering is a must, as is experience with SQL, ETL, data modelling, Python, PySpark and Azure. If that sounds like you, please do get in touch!

Data Engineer Responsibilities:

Design and implement robust data pipelines and systems that can scale alongside the business

Support the business through business intelligence and analytics by building and maintaining data models

Use Azure to compose and manage data workflows

Extract and transform data using SQL / PySpark

Write and maintain code in Python and PySpark

Collaborate with Analysts and Data Scientists to understand data requirements

Deliver data solutions, using your nose for data to perform analysis and troubleshoot data-related issues

Data Engineer Skills and Experience:

Experience gained as a Data Engineer/Data Analyst

Proficient in SQL and data modelling and possesses strong Python and PySpark skills

Experience within Azure Data Factory and Microsoft Fabric would be an advantage

Detail-orientated and meticulous, combined with strong problem-solving skills

My client offers a stable and supportive working environment. They are looking for an experienced candidate who will stay with them for the long-term and build a team. They offer flexible working (remote with 2-3 office days per month) and benefits including; 28 days holiday, your birthday off, BUPA healthcare, matched pension contributions and a monthly half day for wellbeing.

Sound interesting and something you would like to be part of? Apply today!

Integral Recruitment is acting as an employment agency in regard to this vacancy

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.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.