At a Glance
- Tasks: Establish and maintain strong data quality and governance practices across key datasets.
- Company: Fast-growing financial services organisation with a tech-led culture.
- Benefits: Competitive salary, hybrid work model, and clear progression opportunities.
- Other info: Collaborative culture with significant investment in Data and AI.
- Why this job: Shape data quality practices and make a real impact in a growing organisation.
- Qualifications: Strong SQL and dbt skills, with experience in data governance concepts.
The predicted salary is between 80000 - 80000 £ per year.
This is a high impact role for someone who enjoys building trust in data through strong technical delivery and pragmatic governance. The business sees data quality and governance as critical to its growth, meaning you will have real ownership, visibility, and influence from day one. With a strong technical focus and the chance to shape how governance is embedded across the organisation, this role offers both challenge and long term progression.
The Company
They are a fast growing, regulated financial services organisation with a strong technology led culture. Operating across commercial banking, embedded finance, and SME services, they support a wide range of digital businesses while continuing to expand their own product offering. With significant recent growth and continued investment in Data and AI, they are building robust foundations to support scale and regulatory requirements. Their London office is a central hub for data, technology, and innovation.
The Role
This role focuses on establishing and maintaining strong data quality and governance practices across key datasets to ensure trust and reliability for finance and business teams. It involves designing and implementing data quality frameworks, including metrics, validation checks, and monitoring using tools like SQL and dbt, while proactively identifying and resolving data issues at their source in collaboration with engineering teams. The position also requires building and managing a data governance platform, covering data dictionaries, lineage, and ownership, alongside defining clear data standards and ensuring visibility for stakeholders. Working closely with data stewards and senior stakeholders, the role translates business requirements into measurable quality rules, balancing hands-on technical work with strategic governance design and effective stakeholder engagement.
Your Skills & Experience
- Strong hands on experience with SQL and dbt, with a passion for data quality and metrics.
- Proven experience designing or implementing data quality checks, monitoring, and validation frameworks.
- Solid understanding of data governance concepts such as data lineage, ownership, stewardship, and data catalogues.
- Background as a Data Quality Analyst, Analytics Engineer, or Data Engineer with governance exposure.
- Experience working with governance or catalogue tools such as Collibra, Atlan, Purview, or similar.
- Confident communicator who can work with technical teams and business stakeholders to agree and define quality standards.
What They Offer
- The opportunity to shape data quality and governance practices across a growing organisation.
- Clear scope for progression as the data function continues to scale.
- A collaborative, inclusive culture with strong investment in Data and AI.
How to Apply
If you are excited by building technically robust data quality solutions while shaping governance best practice, apply now to find out more.
Data Quality & Governance Engineer in London employer: Harnham
As a fast-growing financial services organisation based in London, we pride ourselves on our technology-led culture and commitment to data quality and governance. Our collaborative and inclusive work environment fosters employee growth, offering clear progression opportunities as we expand our data function. With significant investment in Data and AI, you will have the chance to make a meaningful impact while working in a central hub of innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & Governance Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in data quality and governance. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and dbt projects. If you’ve designed any data quality frameworks or governance tools, make sure to highlight them. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and governance concepts. Be ready to discuss how you've tackled data issues in the past and how you can contribute to building trust in data. Practice makes perfect, so do mock interviews with friends!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get that application in and let’s shape the future of data quality together!
We think you need these skills to ace Data Quality & Governance Engineer in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data quality and governance. Share specific examples of how you've tackled data issues in the past and what you learned from those experiences.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your relevant skills and experiences that match the job description. We want to see how your background aligns with our needs, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your technical skills, especially with SQL and dbt, and how they relate to data governance. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your SQL and dbt Inside Out
Make sure you brush up on your SQL and dbt skills before the interview. Be ready to discuss specific projects where you've implemented data quality checks or validation frameworks. Having concrete examples will show your hands-on experience and passion for data quality.
✨Understand Data Governance Concepts
Familiarise yourself with key data governance concepts like data lineage, ownership, and stewardship. Be prepared to explain how you've applied these principles in past roles, especially if you've worked with tools like Collibra or Atlan. This will demonstrate your understanding of the governance landscape.
✨Engage with Stakeholders
Since this role involves working closely with both technical teams and business stakeholders, think about how you can effectively communicate complex data issues. Prepare to share examples of how you've successfully engaged with different stakeholders to define quality standards and resolve data issues.
✨Show Your Problem-Solving Skills
Be ready to discuss how you've proactively identified and resolved data issues at their source. Think of specific instances where your analytical skills made a difference. This will highlight your ability to not only design frameworks but also to implement them effectively.
