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- Tasks: Lead data quality initiatives and ensure accuracy across data pipelines.
- Company: Leading Financial Services organisation driving a major data transformation.
- Benefits: Competitive salary of £95,000, strong benefits, and flexible working options.
- Other info: Join a passionate team and evolve data governance frameworks.
- Why this job: Make a real impact on data quality and governance in a dynamic environment.
- Qualifications: Experience in Data Quality, Governance, and modern data engineering tools.
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 Management/Quality Manager in London employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Management/Quality Manager in London
✨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
Get your hands dirty with some practical projects. Showcase your skills in data quality and governance by working on personal or open-source projects. This not only boosts your portfolio but also gives you real-world examples to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your knowledge of data governance frameworks, SLAs, and compliance requirements. We want you to be ready to impress with your technical credibility and passion for data quality.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Management/Quality Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Quality Manager. 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 us know why you're excited about this opportunity at StudySmarter.
Showcase Your Technical Skills: Since this role involves hands-on technical leadership, make sure to mention your experience with cloud platforms like Azure, SQL, and Python. We want to know how you've embedded data quality into pipelines and workflows in your previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us at StudySmarter!
How to prepare for a job interview at McCabe & Barton
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data quality, governance, and management. Be ready to discuss specific examples from your past experience where you've successfully implemented data quality controls or improved data governance frameworks.
✨Showcase Your Technical Skills
Since this role requires hands-on technical leadership, be prepared to demonstrate your proficiency with tools like Azure, SQL, and Python. You might be asked to solve a problem on the spot, so practice coding challenges or data modelling scenarios beforehand.
✨Understand the Business Context
This position involves influencing stakeholders across the business, so it’s crucial to understand how data quality impacts overall business performance. Be ready to discuss how you can align data governance with commercial objectives and compliance requirements.
✨Prepare for Team Leadership Questions
As you'll be leading a small team, expect questions about your leadership style and how you foster collaboration among data engineers and operational SMEs. Think of examples that highlight your ability to mentor others and drive best practices in data quality.