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

Apply Now

Junior Data Engineer - Leeds Based

Lorien
Leeds
6 days ago
Create job alert

Junior Data Engineers are required by this major client, as they continue to build the cloud engineering capability in their Leeds offices, where you will provide best in class Data Engineering services to a wide range of major Public Sector organisations.


As a result of the work that they do, this client requires applicants to hold or be capable of obtaining UK National Security Vetting, the requirements for which could include but not be limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national. Please note your application will not be taken forward if you cannot fulfil these requirements.


In order to secure one of these Junior Data Engineer roles you must be able to demonstrate the following experience:



  • Commercial experience gained in a Data Engineering role on any major cloud platform (Azure, AWS or GCP)
  • Experience in prominent languages such as Python, Scala, Spark, SQL.
  • Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc.
  • Some experience with the design, build and maintenance of data pipelines and infrastructure
  • Excellent problem solving skills with experience of troubleshooting and resolving data-related issues

Skills they would love to see:



  • Interest in building Machine learning and Data science applications
  • Ability to use wide variety of open-source technologies
  • Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks
  • Knowledge of test automation frameworks and ability to automate testing within the pipeline

This is an opportunity for significant growth, but with a start-up feel and mentality. In this role you will have the chance to build and be part of a new concept. This client is creating an onshore engineering team to gain access to a new segment of the technology market where there is opportunity for significant growth. They are looking for people to help establish the culture and ways of working of the team so we are well placed to make the most of this opportunity.


Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Engineer | 12 months experience | £40,000 | Fully Remote

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

Junior Data Engineer

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

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 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.