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

Apply Now

Data Engineer

NRG.
Newcastle upon Tyne
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Role: Data Engineer

Location: Newcastle-upon-Tyne


We are excited to partner with our client in seeking skilled Data Engineers to join their innovative team. This is a unique opportunity to work on cutting-edge data products and pipelines that deliver high-quality, standardized data for analysts, both internally and across government sectors. These roles are instrumental in providing timely and impactful datasets in response to significant national events.


Role Overview

As a Data Engineer, you will play a key part in developing and maintaining robust data pipelines and ETL processes. You will contribute to high-profile projects, such as creating integrated data sharing platforms and supporting critical national initiatives.


Key Technologies:

  • Python, PySpark, SQL
  • Cloud platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS) with Cloudera


Key Responsibilities:

  • Design and build data pipelines and ETL processes.
  • Contribute to data validation packages and automation tools.
  • Work collaboratively within a diverse team while also managing your own workload independently.
  • Maintain high standards of coding, peer review, testing, and documentation.
  • Investigate and resolve data quality issues with innovative solutions.
  • Stay current with industry best practices and tools, identifying areas for innovation.
  • Actively contribute to team development by sharing knowledge and leading sessions on new technologies or processes.


Ideal Candidate:

We are looking for candidates with a strong technical background, whether in data analysis, data science, or software engineering, who demonstrate a proactive mindset and a passion for quality work. If you are eager to expand your technical skills and contribute to a dynamic team, this role is for you.


If you are interested in exploring this opportunity further, please reach out for more details!

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.