Senior Data Engineer

Electus Recruitment Solutions
Cheltenham
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering & DataOps Leader – Azure

Senior Data Science Engineer

Senior Data Science Engineer

Senior AI/Generative Data Engineer: LLMs, MLOps, Cloud

Senior Data Scientist — Hybrid (Supply Chain AI)

Senior Data Scientist

Senior Data Engineer Job Description Data is at the heart of how the most complex problems and critical challenges are solved. A unique position has risen due to the access to vast quantities of data, world leading domain specialists on tap and an extremely diverse range of clients with unique challenges.The Data Intelligence Practice helps clients organise, analyse, and visualize their data to create actionable insight from static and real-time sources using industry leading tools and techniques. Our client’s markets are Aerospace, Defence, Security, Government & Infrastructure (Energy, Water, Transport).We are looking for a passionate Senior Data Engineer who will use data to solve real-world problems, and you will have the satisfaction of seeing the direct results of your work.You will be responsible for interpreting large volumes of data and maintaining pipelines to support creation of the digital solutions. You will apply a strong expertise in developing, maintaining, and testing infrastructures, transforming data into a format that can be easily analysed, and architecting solutions for data scientists that enable them to do their jobs.Responsibilities:This is a key role in a rapidly growing part of our business, and you will:Create and maintain optimal data architectures and pipelines.Assemble large, complex data sets that meet functional and non-functional business requirements.Discover opportunities to acquire new data from other systems.Develop and improve data set processes for data modelling, mining, and production.Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.Recommend and implement ways to improve data reliability, efficiency, and quality.Work with Data Scientists and Machine Learning Engineers to build analytics tools that utilize the data pipeline to provide actionable insights into asset management, operational efficiency, and other key business performance metrics.Collaborate with stakeholders including the Product owner, data science, and design teams to assist with data-related technical issues and support their data infrastructure needs.Create data tools for analytics and data scientist team members that assist them in building and optimizing the products that help business achieving their goals.What you can bring:Degree or equivalent in a relevant subject e.g. Computer Science, Information Systems, or related Technical Discipline.Deep knowledge of SQL, Azure/AWS/GCP Cloud based data pipelines, architectures, and data sets.Experience working with big data tools such as Hadoop, Spark is required.Experience working with large data sets, data pipeline and workflow management tools, Azure cloud services, and stream-processing system.Experience working in an agile environment or organizations with an agile culture.A professional attitude and an ability to think outside of the box to solve complex challenges.Background in programming in Python, Scala, C, C++, or Java would be beneficial.Good written and verbal communication skills along with strong desire to work in cross-functional teams.Overview:Position - Data Engineer DV Cleared – Permanent Location – AldershotSalary - £50k - £85k Keywords: Data Engineer, DV Cleared, SQL, Hadoop, Spark, Python, Scala, C, C++, Computer Science, Cloud based tools, large data sets, data pipeline.Only apply for this role if you currently hold the specific Government clearance: Developed Vetting (DV).Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special nationality rules and therefore these vacancies are only open to sole British Citizens. Applicants who meet this criteria will also be required to already have DV clearance.Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to a number of high technology industries. We thank you for your interest in this vacancy. If you don't hear from us within 7 working days please presume your application has been unsuccessful on this occasion. You are of course free to resubmit your CV/details in the future and we shall assess your suitability at that time.This is a Permanent Role

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.