Junior Data Engineer

Eastleigh
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Engineer (Data Science)

Senior Data Scientist

Senior Data Scientist Net Revenue & Revenue Growth Management

Senior Data Scientist

Senior Geospatial Data Scientist

Data Scientist

We have a unique and exciting opportunity for a Junior Data Engineer. You will be responsible to conduct data engineering activities to a deliver a world-class level of condition monitoring. Typical activities will include working on pipelines and other infrastructure to support data analysis, productionising algorithms, working with other members of the cross Analytics team, supporting new product development and supporting production systems in terms of managing cloud infrastructure and services

Specifically, you will be responsible for the following deliverables:

  • Work with the Data Science Engineers to facilitate access to data, update existing libraries to incorporate new datasets and productionise new processing techniques.

  • To work on software to support the work of the analytics team. Keep any software intended for re-use under source control and publicise new software tools/libraries to the team where suitable. Include automated tests for any software that is to be deployed to the cloud/production.

  • Support (mainly cloud) infrastructure and services to allow the analytics data processing software to be operated reliably and efficiently. Work with the Data Engineering Lead to implement cloud native applications that are capable of scaling to meet future demands.

  • Work with the Data Engineering lead to implement the latest cloud technologies and aid adoption by the wider team, where appropriate.

  • Support continuous integration and continuous deployment pipelines (where appropriate) to automate critical aspects of software.

  • Follow internal development and release processes.

  • Mange equipment and cloud infrastructure following cybersecurity policies, manage and update software as required.

    About You

  • A BSc degree in a STEM subject

  • A high degree of competency in a programming language suitable for data engineering

  • Excellent communication skills

  • Awareness of software engineering practices

  • Good .Net programming skills

  • Understanding of typical Data Engineering activities

  • A proactive, problem-solving approach

  • Ability and ambition to learn, both technical skills and domain knowledge

    What's On Offer

  • Competitive salary

  • Annual Performance bonus paid on discretionary basis.

  • 25 days holiday

  • Pension scheme with contributions up to 9%

  • Private medical insurance

  • Personal Accident insurance

  • Group Income protection

  • Group Life Insurance

  • Employee Assistance Programme

    Apply now to be considered and an interview scheduled

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.