Data Governance Lead

Shottery

8 months ago

Applications closed

Related Jobs

View all jobs

Data Governance / Strategy Lead - Outside IR35

Data Engineer

Data Governance

Data Governance Manager

Principal Data Consultant - Data Governance

Data Engineering Lead

Data Governance Lead – Drive Data Excellence for a Sustainable Future

We’re working with a pioneering organisation that’s been putting sustainability at the heart of business for over 30 years. Following a series of internal promotions, they’re now looking for a Data Governance Lead, someone who thrives on leading people, improving processes, and bringing clarity and accuracy to one of the UK’s largest data sets.

If you’re highly organised, people-oriented, and love the challenge of streamlining and scaling operations. This is your chance to make a measurable impact in a values-led environment.

What you’ll be doing:

This is a hands-on leadership role where you’ll be guiding multiple global teams, ensuring they work seamlessly to enrich, maintain, and maximise the use of critical operational data.

Leading cross-functional teams responsible for data quality, supplier engagement, operations, and reporting
Creating a collaborative environment where continuous feedback and improvement are second nature
Identifying and implementing better ways of working—from error reporting to data enrichment
Coaching and motivating teams to hit productivity and quality goals
Driving the accuracy and integrity of data across the business, while embedding best practices with wider teams
Partnering with internal consulting teams to support project delivery (e.g. Packflow, benchmarking, forecastingWhat you’ll bring:

Proven experience managing and developing teams, ideally across multiple geographies
A hands-on approach to data you’ll be confident working with large datasets and reporting tools
Advanced Excel skills (formulas, pivot tables, lookups)
An eye for detail, a mindset for improvement, and a genuine interest in sustainabilityWhat’s in it for you:

Hybrid working – 2 days per week in the office
10% annual bonus
Enhanced annual leave
Health & life insurance
Wellbeing benefits – including gym membership + access to a wellbeing app
8% pension contribution

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 18, 2026

Jobs Careers

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

Jan 13, 2026

Jobs

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.

Jan 6, 2026

Education Jobs

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.