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- Tasks: Lead data quality initiatives and collaborate with engineering teams to ensure data accuracy.
- 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 governance and quality in a dynamic environment.
- Qualifications: Strong background in data quality, governance, and hands-on experience with cloud platforms.
- Other info: Opportunity for career growth while leading a small team in a collaborative setting.
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.
Role remit:
- 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 employer: Mccabe & Barton
Contact Detail:
Mccabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Manager
✨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
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, SQL, and Python. Show them you’re not just a leader but also someone who can dive into the nitty-gritty of 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 Quality Manager
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 stakeholder communication skills are key! When writing your application, make sure to demonstrate your ability to influence and collaborate 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 a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
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 previous roles, especially in a modern data engineering environment. This will show that you’re not just familiar with the concepts but can apply them practically.
✨Showcase Your Technical Skills
Since this role requires hands-on experience with cloud data platforms like Azure, SQL, and Python, be prepared to talk about specific projects where you used these technologies. Highlight any orchestration tools you’ve worked with and how they contributed to data quality improvements.
✨Demonstrate Stakeholder Engagement
This position involves influencing stakeholders across the business, so think of examples where you successfully communicated complex data quality issues to non-technical teams. Prepare to discuss how you’ve built relationships and collaborated with data engineers and operational SMEs.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data governance and quality controls. Practice articulating your thought process and decision-making strategies. This will help you demonstrate your commercial mindset and ability to lead a team effectively.
