Data Quality Manager

The Capital Markets Company GmbH
Manchester
4 months ago
Applications closed

Related Jobs

View all jobs

Data Quality Manager

Data Quality Manager

Data Quality Manager

Data Quality Manager

Data Quality Manager

Data Quality Manager

Location: Manchester (Hybrid) | Practice Area: Data & Analytics | Type: Permanent


Shape data integrity. Deliver business value.


The Role

As a Data Quality Manager in our Data & Analytics practice, you will lead the delivery of enterprise-wide data quality solutions that enable clients to become truly data-driven. You’ll work directly with business and technology teams to design, implement and embed robust data quality frameworks, processes and tooling across major transformation programmes. This role combines leadership, hands-on delivery, and mentorship, supporting clients across financial services in achieving sustainable and scalable data improvements.


What You’ll Do

  • Define and implement data quality frameworks, standards and operating models across the enterprise
  • Design and deliver data quality monitoring, profiling, issue management and dashboarding solutions
  • Collaborate with clients to define and implement data quality rules, metrics, and key indicators
  • Deploy data quality tooling, integrating with metadata, lineage and governance platforms
  • Support the definition and alignment of reference data taxonomies and data consumption models

What We’re Looking For

  • 6+ years’ experience in data management or analytics roles, ideally in financial services
  • Strong applied knowledge of data quality, metadata and lineage frameworks
  • Experience with enterprise data tooling such as Collibra, Solidatus, Talendor Ataccama
  • Excellent communication and problem-solving skills, with the ability to simplify complexity
  • Experience leading delivery across large-scale transformation or change programmes

Bonus Points For

  • Consulting background or internal data leadership roles within Financial Services organisations
  • Familiarity with regulatory initiatives such as BCBS-239, GDPR, ESG, or Consumer Duty
  • Knowledge of common data governance frameworks (DAMA DMBOK, DCAM, CDMC)
  • Hands-on analytics experience with tools like Power BI, Tableau or Qlik
  • Experience designing and delivering data quality training or literacy programmes

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy

We offer a competitive, people-first benefits package designed to support every aspect of your life:


Core Benefits

Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.


Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.


Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.


Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.


Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.


Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick—workshops, certifications, e-learning - your growth, your way. Also, a Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.


Healthcare Access: Convenient online GP services.


Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work and dental insurance.


Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.


Apply for this job

*


indicates a required field


First Name *


Last Name *


Email *


Phone


Country


Phone


Location (City) *


Resume/CV


Enter manually


Accepted file types: pdf, doc, docx, txt, rtf


LinkedIn Profile


Website


Are you authorized to work in the country in which you’re applying? *


Do you require Right to Work sponsorship now, or at any point in the future? *


Do you know anyone or are you related to anyone who works at Capco? *


Were you referred to this role by a current Capco Employee? If yes, please confirm the employee’s Capco email address. *


Reasonable Adjustments *


Do you require reasonable accommodations or adjustments?


If you answered yes to the Reasonable Adjustments question, please provide additional details. If not, enter N/A. *


If you answered yes to the previous question, please provide additional details.


How did you hear about this role? *


Capco Job Candidate Privacy Notice Acknowledgement *


Capco Job Candidate Privacy Notice Acknowledgement


Capco does not and shall not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. In order to track the effectiveness of our recruiting efforts, please consider participating in the optional questionnaire.


#J-18808-Ljbffr

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.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.