At a Glance
- Tasks: Lead data quality initiatives and ensure accuracy across data pipelines.
- Company: A top Financial Services firm driving a major 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 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 City of London employer: McCabe & Barton
As a leading Financial Services organisation, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our robust training programmes and the opportunity to lead a talented team in a hands-on technical role. With a competitive salary of £95,000 and a strong benefits package, including flexible working arrangements, we offer an environment where your passion for data quality can thrive while making a meaningful impact on our data transformation journey.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management/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
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 cloud platforms like Azure. Being able to speak confidently about modern data architectures will set you apart from other candidates and show that you're genuinely passionate about the field.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Data Management/Quality Manager in City of 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 highlight 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 talk about your experience with cloud data platforms like Azure, SQL, and Python. Bring examples of how you've used these tools in previous roles to enhance data quality and governance.
✨Demonstrate Your Leadership Style
As you'll be leading a small team, it's important to convey your leadership approach. Share how you've influenced stakeholders and collaborated with data engineers and operational SMEs to embed best practices in data quality and governance.
✨Prepare for Compliance Conversations
Given the need to partner with Risk, Audit, Data Protection, and Legal teams, be ready to discuss how you've navigated compliance requirements in the past. Highlight any experiences where you've successfully aligned data governance with regulatory standards.
