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

Apply Now

Data Quality Analyst

CityFibre
Milton Keynes
10 months ago
Applications closed

Related Jobs

View all jobs

Air Quality Data Analyst — 2-Year Contract

Pension Scheme Data Analyst — Onboarding & Data Quality

Data analyst

Workforce Data Analyst — Excel & Insights

Data Analyst (L&D / People)

Senior Data Analyst Business Partner

Job Description

 This hybrid role offers a great balance of home and office working. You’ll join your colleagues in your local office at least 2 days a week.

As the UK’s largest fibre-only network, and its only proven wholesale challenger, we’re busy setting new standards for what digital infrastructure can and should be.

Designed from scratch for the internet, our network is greener, more reliable and ready for the future. The products we provide over it not only lead the market on speed, value and service, they help businesses to innovate, provide entire communities with a better foundation for their digital lives and support economic growth, locally and nationally.

What does that mean for you? The opportunity to make internet connections (and daily life) a whole lot better, for a lot of people!

Joining us as a Senior Data Quality Analyst

As an experienced Data Quality Analyst, you will be pivotal in maintaining data integrity by executing validation, cleansing, and maintenance processes that ensure high data quality standards. Your efforts will not only support accurate decision-making but also build trust and reliability in our business data systems. You will serve as the primary coordinator for all data quality-related issues.

You’ll receive a competitive salary, a performance related bonus, and a range of benefits to support you across your financial, physical and mental wellbeing.

This is some of what you can expect to be doing

  • Maintain data integrity and documentation
  • Conduct root cause analysis and implement business solutions
  • Track and analyse quality metrics, leading efforts to correct adverse trends
  • Identify training needs and collaborate with the Data Governance team to improve data quality

What you’ll bring to the role

As an experienced Data Quality Analyst, you’ll also have:

  • Previous experience in Data Quality Analysis
  • Strong knowledge of Data Quality rules, integration, and issue remediation
  • Experience in Data Management and Data Governance
  • Proficient in using SQL for querying and manipulating large datasets


Diversity, Inclusion & Belonging

We’re a Times Top 50 Employer for Gender Equality. We’re endorsed byWORK180and we’re a partner ofDiversifying. We have pledged our commitment to the Armed Forces Covenant and we’re a Disability Confident Employer. Working together with our Employee Networks, we’re wholly committed to ensuring that our people’s voices are heard, and that everyone feels a sense of belonging and pride to be a part of CityFibre. If you’d like to explore our culture and values, check outThe CityFibre Way.


What you can expect from us

We want to offer you all the support you need to thrive inside and outside of work. This means giving you the tools to grow your career with us, as well as a comprehensive benefits package that you can adapt to your lifestyle. This includes 25 days annual leave, a day off on your birthday, a day off to support a charity or organisation of choice, a range of wellbeing and savings initiatives including private medical insurance, and supportive family friendly and menopause policies.


Additional Information

We want to create a sense of belonging for everyone. We celebrate our differences and work to ensure everyone has the best chance to succeed, starting with our recruitment process. No matter your background, family or carer status, ethnicity, sexual orientation, religion, age, disability, gender, or gender identity, we welcome your application. If you need any support or reasonable adjustments throughout the application process, please email us at . We want to help!

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.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.