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- Tasks: Lead a team to ensure data quality and governance in a dynamic financial services environment.
- Company: Join a leading Financial Services organisation undergoing exciting data transformation.
- Benefits: Enjoy a competitive salary of £95,000, strong benefits, and flexible working options.
- Other info: Hands-on leadership role with opportunities for professional growth and innovation.
- Why this job: Make a real impact on data quality and governance while collaborating with talented teams.
- Qualifications: Proven experience in Data Quality, Governance, and modern data engineering practices.
The predicted salary is between 95000 - 95000 £ per year.
A leading Financial Services organisation undergoing a large scale data transformation is looking to hire an experienced Data Quality Manager. The role offers a salary of £95,000 plus a strong benefits package and flexible working.
This role will suit a technically credible Data Quality leader with a genuine passion for data quality, accuracy and trust. You will work closely with data engineers and platform teams to embed pragmatic governance and quality controls into delivery, while influencing stakeholders across the business and possess a commercial mindset.
This is a hands-on technical leadership role, combining data quality and governance ownership with practical engineering input. You will lead a small team and partner with data engineers and operational SMEs to embed best practice across data quality, governance and data management.
- Own and evolve the data governance framework within an engineering-led environment
- Define governance standards, guardrails, data contracts and SLAs
- Partner with Risk, Audit, Data Protection and Legal to meet compliance requirements
- Work with data engineering teams to embed data quality into pipelines and workflows
- Provide hands-on guidance on data modelling, reconciliation, metadata and best practice
- Strong background in Data Quality, Data Governance and Data Management within a modern data engineering environment
- Hands-on experience with cloud data platforms, Azure, SQL, Python and orchestration tools
- Proven experience embedding data quality controls across data pipelines and ETL transformation workflows
- Good understanding of modern data architectures and quality control patterns
- Experience with data profiling, lineage analysis, reconciliation and metadata management
Data Quality Manager (Permanent) employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Manager (Permanent)
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Data Quality Manager role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! When you get the chance to chat with potential employers, be ready to discuss your hands-on experience with data quality and governance. Share specific examples of how you've embedded quality controls in past roles – it’ll make you stand out!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and expertise. Check out our website for openings that match your skills in data management and governance. Tailor your approach to show why you’re the perfect fit for their team.
✨Tip Number 4
Prepare for interviews by brushing up on the latest trends in data quality and cloud platforms like Azure. Be ready to discuss how you can lead a team and partner with data engineers to enhance data governance – that’s what they want to hear!
We think you need these skills to ace Data Quality Manager (Permanent)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Quality Manager role. Highlight your experience with data governance, quality controls, and any hands-on technical skills you have. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for data quality and how you can influence stakeholders. We love seeing genuine enthusiasm, so let your personality come through while keeping it professional.
Showcase Relevant Projects: If you've worked on projects that involved data quality, governance, or engineering, make sure to mention them. We’re keen to see practical examples of how you've embedded best practices in your previous roles. It’s all about demonstrating your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're proactive and keen to join our team!
How to prepare for a job interview at McCabe & Barton
✨Know Your Data Quality Fundamentals
Make sure you brush up on your data quality, governance, and management principles. Be ready to discuss how you've implemented these in past roles, especially in a modern data engineering environment. This will show your technical credibility and passion for the subject.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on experience with cloud data platforms like Azure, SQL, and Python. Highlight any projects where you embedded data quality controls into pipelines or ETL workflows, as this will demonstrate your practical skills and leadership capabilities.
✨Understand the Business Context
Research the company’s data transformation journey and understand their business model. Be ready to discuss how your role as a Data Quality Manager can influence stakeholders and align with their commercial mindset. This shows that you’re not just technically savvy but also business-oriented.
✨Prepare Questions for Them
Think of insightful questions to ask about their data governance framework and how they measure success in data quality. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your values and career goals.