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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.
- Why this job: Make a real impact on data quality while collaborating with talented engineers and stakeholders.
- Qualifications: Experience in Data Quality, Governance, and Management, with skills in Azure, SQL, and Python.
- Other info: Join a hands-on leadership role with excellent career growth opportunities.
The predicted salary is between 76000 - 114000 £ per year.
A leading Financial Services organisation undergoing a large scale data transformation is looking to hire an experienced Data Quality Manager on a permanent basis. 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 possessing 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
Experience required:
- 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
- Strong stakeholder communication skills with the ability to influence engineering teams
If you are an experienced Data Quality Manager with the required background, please respond with an up-to-date CV for review.
Data Quality Manager 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 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
Get your LinkedIn game on point! Make sure your profile showcases your experience in data quality, governance, and management. Join relevant groups and engage with posts to increase your visibility among potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your hands-on experience with cloud data platforms like Azure and tools like SQL and Python. Show them you’re not just a leader but also a tech-savvy team player!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Data Quality Manager position. Plus, it shows you’re serious about joining our team and makes it easier for us to find your application.
We think you need these skills to ace Data Quality Manager 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 in data quality, governance, and management, especially in a modern data engineering environment. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills: Don’t forget to showcase your hands-on experience with cloud data platforms like Azure, SQL, and Python. We’re keen on seeing how you’ve embedded data quality controls in pipelines and workflows, so give us the details!
Communicate Clearly: Strong communication skills are key! Make sure your application reflects your ability to influence stakeholders and work closely with engineering teams. We love clear and concise communication, so keep it straightforward.
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 track your application and ensure it reaches the right people. Don’t miss out!
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 prepared to discuss specific examples from your past experience where you've successfully implemented data quality controls or improved data accuracy. This will show that you’re not just familiar with the concepts but have practical experience in applying them.
✨Showcase Your Technical Skills
Since this role requires hands-on technical leadership, be ready to talk about your experience with cloud data platforms like Azure, SQL, and Python. Consider preparing a few scenarios where you’ve used these tools to solve data quality issues or enhance data pipelines. This will demonstrate your technical credibility and ability to lead a team effectively.
✨Communicate Like a Pro
Strong stakeholder communication skills are crucial for this position. Practice articulating complex data concepts in a way that’s easy to understand for non-technical stakeholders. Think about how you can influence and engage different teams across the business, as this will be key to your success in the role.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company’s data transformation journey and their expectations for the Data Quality Manager role. This shows your genuine interest in the position and helps you assess if the company aligns with your career goals.
