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- Tasks: Lead data quality initiatives and ensure accuracy across data pipelines.
- Company: A top-tier Financial Services organisation driving data transformation.
- Benefits: Competitive salary of £95,000, strong benefits, and flexible working options.
- Other info: Join a passionate team and shape the future of data management.
- Why this job: Make a real impact on data quality in a dynamic, engineering-led 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 Quality Manager (Permanent) in City of London employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Manager (Permanent) in City of 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
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 projects to demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in data management and governance. Familiarise yourself with tools like Azure, SQL, and Python, so you can confidently discuss how you would apply them in the role.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly shows your enthusiasm for joining our team. Plus, it makes it easier for us to spot your application!
We think you need these skills to ace Data Quality Manager (Permanent) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored 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 contribute to our team. Be sure to mention specific experiences that demonstrate your leadership and technical skills.
Showcase Your Technical Skills: Since this role involves hands-on technical leadership, don’t forget to showcase your experience with cloud platforms like Azure, SQL, and Python. We love seeing practical examples of how you've embedded data quality into workflows!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Good luck!
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 accuracy. This will show your technical credibility and genuine passion for the role.
✨Showcase Your Leadership Skills
As a Data Quality Manager, you'll be leading a team and influencing stakeholders. Prepare to share your leadership style and how you've effectively managed teams in the past. Think about times when you’ve partnered with data engineers or operational SMEs to achieve a common goal—this will highlight your collaborative approach.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces regarding data quality and compliance. Being able to speak to how your work can impact the business positively will demonstrate your commercial mindset and understanding of the industry.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions around cloud data platforms, SQL, Python, and orchestration tools. Brush up on your hands-on experience with these technologies and be ready to explain how you've used them to embed data quality into pipelines and workflows.