Data Engineer

PRIMA Partners Global
Surrey
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior/ Principle Consultant - Data Engineer (Azure/ Data Bricks/ MS Stack), hybrid working.


We deliver complex transformational projects that add value, create insight and drive growth and profitability. Clients come to us for our expertise, they stay because of our track record of successful project delivery.


With multiple offices & continually looking to expand across the globe, we have managed to maintain our proven track record in delivery across multiple technologies we specialise in; Enterprise Performance Management (EPM), Data and Insights and Customer Relationship Management (CRM).


But it is our team of dedicated experts that are at the heart of what makes us a success.


Role Overview

Looking for an experienced Data Engineer to join our data and insights consulting practice. This is a varied role that covers a wide breadth of different skills – our customers are always pushing us for new innovative technical solutions.

· Building data and insight solutions on data platforms

· Implementing Technical solutions for our customers in a variety of different data tools and platforms

· Machine Learning and AI development.

· Consulting on solution architecture, approach, and technologies for our clients

· Technical Project Delivery

· Writing code and building solutions

· Managing junior consultants to deliver projects


Skills Overview

· Hands on data engineering experience

o Several ‘war stories’

o Leading (or at least played a key role in) delivery projects

o Ideally 4+ years technical experience

o Experienced designing solutions, not just writing the code/developing


· Consultancy and customer engagement

o Commands credibility with clients and colleagues

o Good comms

o Pre-sales, can deliver demo

o Team development and mentorship


Technical Skills

· Essential Skills

o Database skills – SQL, data modelling etc

o General IT architecture

  • MS stack
  • Azure
  • Data bricks


· One or more of the following key technology skills:

o Systems integration, APIs – REST, SOAP etc

o SQL Server Integration Services (SSIS)

o Amazon RedShift

o Azure Synapse

o SQL Server

o Oracle Database

o Oracle Data Integrator

o Oracle Integration Cloud

o Business Objects Data Services (BODS)

· Equivalent tech (useful similar products that demonstrate broader tech skills)

o Tableau

o PowerBI

o Qlik

o MicroStrategy

o Business Objects


Personal Attributes

· Open minded – looking to learn new technologies and skills

· Keen to learn

· Able to understand the bigger picture

· Any significant industry experience building data platforms and data solutions

· Previous Consulting experience very beneficial

  • willing to work 3/4 days per week at HQ or Client offices.


Technical Skills

Tertiary education to at least BSc, ideal in STEM subject

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.