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- Tasks: Lead a team to ensure data quality and governance in a dynamic financial services environment.
- Company: A leading Financial Services organisation undergoing a major data transformation.
- Benefits: Competitive salary of £95,000, strong benefits package, and flexible working options.
- Other info: Join a collaborative team and drive best practices in a modern data engineering environment.
- Why this job: Make a real impact on data quality and governance while working with cutting-edge technologies.
- Qualifications: Experience in Data Quality, Governance, and Management with hands-on technical skills.
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 / QA Manager - Quality Assurance in London employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data / QA Manager - Quality Assurance 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 job 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
Don’t just apply anywhere—apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better shot at landing that interview. Plus, it shows you’re genuinely interested in joining our team.
✨Tip Number 4
Prepare for those interviews! Brush up on your knowledge of cloud data platforms like Azure and SQL, and be ready to discuss how you would define governance standards and SLAs. Being well-prepared will help you stand out as a top candidate.
We think you need these skills to ace Data / QA Manager - Quality Assurance in 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 is hands-on, don’t shy away from showcasing your technical expertise. Mention your experience with cloud platforms like Azure, SQL, and Python. We love seeing candidates who can blend technical know-how with data governance!
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 get all the updates directly from us. Plus, it shows you're keen on joining 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 principles and governance frameworks. Be ready to discuss how you've implemented these in past roles, especially in a hands-on capacity. This will show your technical credibility and passion for data quality.
✨Showcase Your Technical Skills
Prepare to talk about your experience with cloud data platforms like Azure, SQL, and Python. Have specific examples ready that demonstrate how you've used these tools to embed data quality into pipelines and workflows. This will highlight your practical engineering input.
✨Understand the Business Context
Research the company’s business model and how data quality impacts their operations. Be prepared to discuss how you can influence stakeholders and align data governance with commercial objectives. This shows you have a commercial mindset and understand the bigger picture.
✨Prepare for Team Leadership Questions
Since you'll be leading a small team, think about your leadership style and how you’ve successfully partnered with data engineers and operational SMEs in the past. Be ready to share examples of how you've embedded best practices across data quality and governance.