At a Glance
- Tasks: Shape data quality and governance practices while collaborating with technical teams.
- Company: Fast-growing financial services organisation with a tech-led culture.
- Benefits: Opportunities for progression, inclusive culture, and investment in Data and AI.
- Other info: Dynamic role with visibility and influence across the organisation.
- Why this job: Make a real impact on data trust and governance from day one.
- Qualifications: Strong SQL and dbt skills, with experience in data quality and governance.
The predicted salary is between 60000 - 75000 £ 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.
Data Quality & Governance Engineer employer: Harnham
As a fast-growing financial services organisation based in London, we pride ourselves on fostering a technology-led culture that values data quality and governance. Our collaborative and inclusive work environment not only encourages innovation but also offers clear pathways for career progression, allowing you to make a significant impact from day one. With ongoing investment in Data and AI, you'll have the unique opportunity to shape our data practices while working alongside passionate professionals in a central hub of technology and finance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality & Governance Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data quality and governance. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and dbt projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on data 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 at their organisation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Quality & Governance Engineer
Some tips for your application 🫡
Show Your Passion for Data:When you're 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 how you’ve contributed to building trust in data. This will help us understand your genuine interest in the role!
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with SQL, dbt, and any governance tools you've used. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements that demonstrate your expertise.
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point, making it easy for us to see why you’re a great fit for the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to see more about our company culture and values while you’re at it!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your SQL and dbt skills. Be ready to discuss specific examples of how you've designed or implemented data quality checks and frameworks in the past. This will show that you not only understand the technical side but can also apply it practically.
✨Understand Governance Concepts
Familiarise yourself with key data governance concepts like data lineage, ownership, and stewardship. Be prepared to explain how these concepts play a role in ensuring data quality and reliability. This will demonstrate your strategic thinking and ability to engage with stakeholders effectively.
✨Showcase Your Communication Skills
As a confident communicator, you’ll need to bridge the gap between technical teams and business stakeholders. Practice articulating complex data issues in simple terms. Highlight any past experiences where you successfully collaborated with different teams to define quality standards.
✨Prepare Questions About Their Data Culture
Think about what you want to know regarding their data quality and governance practices. Asking insightful questions about their current frameworks or tools like Collibra or Atlan shows your genuine interest in the role and helps you assess if their culture aligns with your values.
