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

Nominate & Attend

Data Quality Lead

Crawley
3 weeks 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 Analyst

Data Governance Manager

Data Governance Manager

Data Governance Lead

Data Asset Register Lead

Data Analyst

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.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

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

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.