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

Apply Now

Data Engineer

Mentmore
Reading
2 days ago
Create job alert

Data Engineer - Hybrid Role

Working as a key member of the Digital Data team, the purpose of this Data Engineering role is to help build out the next evolution of our clients Enterprise Data Platform (EDP).

The role will collaborate with colleagues from across the organisation, including their bespoke data product teams, to contribute to the overall goal of becoming a data-driven organisation with a centralised enterprise Lakehouse at its core. You will therefore assist in the delivery of this vision and play your part in helping take the client toward the next level of data maturity.

What youll be doing as a Data Engineer

  • Manage the investigation of corporate data requirements, documenting them according to the required standards, utilising the prescribed methods and tools.
  • Implement data flows to connect operational systems, data for analytics and BI systems. Re-engineer manual data flows to enable scaling and repeatable use.
  • Work closely with data architects and data scientists to determine which data is needed for analysis.
  • Tackle problems associated with database integration and unstructured data sets.
  • Ensure that those using the data structures and associated components have a good understanding and that any queries are dealt with promptly and efficiently.
  • In liaison with the information management or IT management functions, contributes to the development and maintenance of corporate data standards.
  • Corporate data standards are agreed, documented, managed and audited as required.

Essential

  • Solid experience as a Data Engineer.
  • Azure Data Factory expert.
  • Excellent SQL and/or Python skills.
  • Extensive experience in Data Engineering.
  • Proficient with Data Warehousing Solutions and Data Modelling.
  • Has excellent interpersonal skills and is fully experienced at dealing with stakeholders.
  • Proficient and effective communicator.

Desirable

  • MCSA Data Engineering with Azure.
  • M10979 Azure Fundamentals.
  • Experience of working with national/international standards, e.g. ISO20000, ISO27000, ISO9001, ITIL.

Whats in it for you?

  • Competitive salary of up to 70,000 per annum, depending on experience.
  • Annual Leave - 26 days holiday per year, increasing to 30 with the length of service. (plus bank holidays)
  • Generous Pension Scheme through AON.
  • Grade B performance-related bonus scheme.
  • Access to lots of benefits to help you take care of you and your familys health and wellbeing, and your finances from annual health MOTs and access to physiotherapy and counselling, to Cycle to Work schemes, shopping vouchers and life assurance.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.