National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Quality Lead

Better Days Recruitment
Leeds
1 day ago
Create job alert

We have a fantastic opportunity for an experienced Data Quality Lead to join our client in West Sussex.


This is a newly created role and the Data Quality Lead will be involved in developing and implementing data quality management strategies and frameworks, as well as overseeing the quality and integrity of data within the business and systems.


The Data Quality Lead will be responsible for leading and developing a small team, ensuring their metrics are being met and driving continuous improvement in data accuracy, consistency, and integrity across all relevant systems and processes.


Working across the business you will develop relationships and work with stakeholders to understand data requirements and quality needs, and drive out resolutions to completion


This is an exciting time in the company’s growth, they have recently made investment in new data sources and data quality management technology to meet commercial data strategy and compliance data quality needs. There is an opportunity for this person to come in and make the role their own.


Skills & Experience needed;

  • Previous experience within a similar Data Quality role where you have implemented data quality standards, policies, and best practices.
  • Understanding of data management principles with experience of data governance frameworks.
  • Experience of leading and developing teams of data quality analysts
  • Experience with data governance and stewardship, ensuring data quality at all stages of its lifecycle.
  • Conduct data quality assessments and audits, identifying and prioritising issues.
  • Ability to define and measure key Data Quality KPIs
  • Ability to develop and implement mitigation strategies for data quality risks.
  • Ability to lead cross-functional initiatives data quality improvement projects, including planning, execution, and resource management.
  • Strong communication skills to influence business stakeholders and IT teams
  • Hands on and current experience with data profiling techniques to analyse data and identify issues
  • Strong problem-solving skills to identify root causes of data quality issues.
  • Evidenced delivery of automated solutions to streamline data cleaning
  • Experienced at creating dashboards and reports using BI tools, preferably Power BI
  • An understanding of relational databases, SQL Server/Oracle & writing SQL queries
  • Experience of using Aperture would be desirable


In return they offer an excellent benefits package & development opportunities.

Related Jobs

View all jobs

Data Quality Lead

Data Quality Lead

Data Quality Lead

Data Quality Lead

Data Quality Lead

Data Quality Lead

National AI Awards 2025

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 Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.