Data Engineer

Tenth Revolution Group
Peterborough
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

A growing Microsoft Partner Consultancy are looking for a passionate Data Engineer to join their impressive team, and work on cutting-edge projects for a variety of customers.

The role is home-based, with some element of travel to client sites when required, and to company conferences and events (expenses-paid). For this reason, they're able to consider candidates across the UK.

This role sits within their specialist Data Practice - where you'll work as part of an Agile team to deliver modern data solutions for their clients, enabling better decision-making and driving innovation.

You'll work on projects end-to-end, from running workshops to gather requirements, through to solution design, development, implementation and support.

Projects typically span data ingestion, data storage (e.g. building new data lakes or data warehouses), data processing, data management, analytics and visualisation, using the latest technologies such as Azure SQL, Synapse Analytics, Fabric, Databricks, Power BI and more.

This role would be well-suited to a Data Engineer looking to take their first-step into Consultancy, or someone who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on both personal and professional development!

We are looking for experience in most of the below areas:

  • Experience in a Data Engineering (or similar) role
  • Strong scripting skills in SQL and Python
  • Experience designing and developing ETL/ELT processes using the Azure platform - Azure Synapse, Data Factory, Databricks or Fabric
  • Knowledge of data lakes and medallion lake house design
  • Working knowledge of Power BI or similar
  • Strong communication, stakeholder management and problem-solving skills
  • Microsoft Certifications are desirable but not essential

Benefits include:

  • Salary of up to £55,000 depending upon experience
  • Annual salary review
  • Bonus up to 10%
  • Pension - 5% matched
  • 25 days holiday
  • Home working allowance
  • Enhanced parental pay and leave
  • Support towards industry certifications

Please note that this is a permanent role for UK residents only, and does not offer Sponsorship. You must have the right to work in the UK with no restrictions.

This company is an equal opportunities employer and welcomes applications from diverse candidates.


#J-18808-Ljbffr

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.