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- Tasks: Lead data quality initiatives and ensure accurate data governance across teams.
- 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 and governance in a dynamic environment.
- Qualifications: Experience in Data Quality, Governance, and modern data engineering tools like Azure and SQL.
- Other info: Join a passionate team and influence stakeholders while driving best practices.
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 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.
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
- 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/or orchestration tools
- Proven experience embedding data quality controls across datapipes 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: Allegheny County Economic Development
Contact Detail:
Allegheny County Economic Development 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 hands dirty with some practical projects. Whether it's a personal project or contributing to open-source, showcasing your skills in data quality and governance can really set you apart. Plus, it gives you something solid to talk about in interviews!
✨Tip Number 3
Prepare for those interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud platforms like Azure, SQL, and Python. We want to see that you can not only talk the talk but also walk the walk when it comes to 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 in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Quality Manager role. Highlight your experience with data governance and quality controls, and don’t forget to mention any hands-on work with cloud platforms like Azure or SQL.
Showcase Your Passion: We want to see your genuine passion for data quality! Use your cover letter to share why you care about accuracy and trust in data, and how that aligns with our mission at StudySmarter.
Be Specific About Your Skills: When listing your skills, be specific! Mention your experience with data profiling, lineage analysis, and any orchestration tools you've used. This helps us see how you can fit into our team.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Allegheny County Economic Development
✨Know Your Data Inside Out
Make sure you’re well-versed in data quality concepts and governance frameworks. Brush up on your knowledge of data profiling, lineage analysis, and the specific tools mentioned in the job description like Azure and SQL. Being able to discuss these topics confidently will show that you’re technically credible.
✨Showcase Your Leadership Skills
As a Data Quality Manager, you'll be leading a team. Prepare examples of how you've successfully managed teams in the past, particularly in data environments. Think about times when you influenced stakeholders or implemented best practices, and be ready to share those stories.
✨Understand the Business Context
This role requires a commercial mindset, so do your homework on the financial services industry. Familiarise yourself with common compliance requirements and how data quality impacts business decisions. This will help you connect your technical skills to the organisation's goals during the interview.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Be ready to explain how you would embed data quality controls into pipelines and workflows. Practise articulating your thought process on data modelling and reconciliation, as this will demonstrate your hands-on experience and problem-solving abilities.
