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

Apply Now

Data Analytics Manager

Exeter
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Group Data Governance Manager

Data Engineer

Data Engineer

Data Governance / Data Management Manager

Data Engineer

Data Analytics Manager

  • Exeter, Devon (Hybrid-Working, with a minimum of x2 days in the office)
  • £70,000 per year
  • Plus excellent company benefits (including Pension, Bonuses, Life Insurance, Private Healthcare, etc.
    The Opportunity:
    My client based in the sustainability sector are currently on the lookout for a Data Analytics Manager on a permanent basis based out of their offices in Devon.
    My client are in an exciting period of transition and transformation as they build their all new Azure data lake and this newly created role will be responsible for the evolution of my client’s data infrastructure and analytics as they build and develop their next generation of self-service data tools for customers.
    In this role you must be comfortable maintaining legacy systems (Excel, VBA and PowerPoint) whilst managing the transition to the new Azure platform.
    You will be managing a small team of skilled analysts, enabling the business to maintain operational outputs whilst also providing coaching and mentorship to upskill the team.
    We are looking for a critical thinker who has experience in building and developing new analytical data structures, to extract the insight required and understanding needed from their evolving data sources.
    Skills and Experience:
  • Experience with managing a small team of skilled Data Analysts
  • At least 5 years’ experience in a Senior Data Analyst/Data Scientist role
  • Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques
  • Expert in SQL and at least one analytical programming language (Python is preferred, R or Julia)
  • Advocate of IAC principles and best practice coding (GIT, SVN)
  • Ability to optimise workflows and analysis for map reduce processing
  • Experience with BI software (Power BI, Tableau and/or Qlik Sense)
    Please contact John Noonan here at ISR Recruitment to learn more about this opportunity as a Data Analytics Manager and our exciting client based in Devon and their ongoing growth plans??

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 Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead. This guide mirrors the structure of your AI, biotech, blockchain, cloud & cyber articles, & is written with SEO in mind for both job seekers & recruiters searching for terms like “data engineering hiring trends 2026”, “data engineering jobs in the UK”, “data engineer recruitment UK” & “modern data stack roles 2026”.

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.