Data Engineer

In Technology Group
Liverpool
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer – Newcastle (3 Days On-Site)


£45,000 – £55,000 + Excellent Benefits


Large Utilities Company | Permanent | Hybrid Working


Are you a data-driven problem solver with a passion for building robust data pipelines and infrastructure? We’re working with a major player in the utilities sector who is seeking a talentedData Engineerto join their growing data team inNewcastle.


This is a fantastic opportunity to work on impactful projects that support critical infrastructure, while enjoying a hybrid working model with3 days per week on-site.


What You’ll Be Doing:

  • Designing, building, and maintaining scalable data pipelines and ETL processes.
  • Collaborating with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
  • Ensuring data quality, integrity, and security across various platforms.
  • Supporting the migration and integration of data from legacy systems to modern cloud-based environments.


What We’re Looking For:

  • Proven experience as a Data Engineer or in a similar role.
  • Strong SQL skills and experience with data modelling and warehousing.
  • Proficiency in Python or another programming language used for data engineering.
  • Experience with cloud platforms (e.g., Azure, AWS, or GCP) is highly desirable.
  • Familiarity with tools such as Apache Airflow, Spark, or similar is a plus.


What’s On Offer:

  • Competitive salary between£45,000 – £55,000, depending on experience.
  • Flexible hybrid working – 3 days on-site in Newcastle.
  • Generous benefits package including pension, holiday allowance, and professional development opportunities.
  • The chance to work in a collaborative, forward-thinking environment with a focus on innovation and sustainability.

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.