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- Tasks: Lead data governance and ensure high-quality data across pipelines during a major transformation.
- Company: Join McCabe & Barton, a forward-thinking company focused on data excellence.
- Benefits: Enjoy a competitive salary of £95,000 and flexible working options.
- Other info: Be part of a transformative journey in a dynamic work environment.
- Why this job: Make a significant impact on data quality while collaborating with diverse teams.
- Qualifications: Strong experience in data quality, governance, Azure, SQL, and Python required.
The predicted salary is between 95000 - 95000 £ per year.
McCabe & Barton is seeking a Data Quality Manager to lead a data governance framework during a large scale data transformation. The role involves defining governance standards and collaborating with various teams to ensure high data quality across pipelines.
Ideal candidates will have strong experience in data quality, governance, and management, along with expertise in Azure, SQL, and Python.
This position offers a competitive salary of £95,000 with flexible working options.
Data Quality & Governance Lead — Flexible Working employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality & Governance Lead — Flexible Working
✨Tip Number 1
Network like a pro! Reach out to folks in the data quality and governance space on LinkedIn. A friendly chat can open doors and give you insights into what companies like McCabe & Barton are really looking for.
✨Tip Number 2
Show off your skills! If you've got experience with Azure, SQL, or Python, make sure to highlight that in conversations. We want to see how you can bring those skills to the table during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on data governance frameworks and be ready to discuss how you've implemented them in past roles. We know you’ve got the experience, so let’s make sure you can articulate it!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Data Quality & Governance Lead — Flexible Working
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data quality and governance. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Azure, SQL, and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Data Quality & Governance Lead role. Share specific examples of your past successes in data management and how you can contribute to our team.
Showcase Your Collaboration Skills: Since this role involves working with various teams, highlight any experiences where you’ve successfully collaborated on projects. We love seeing candidates who can work well with others to achieve high data quality across pipelines.
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, it’s super easy – just follow the prompts!
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 and governance frameworks. Be prepared to discuss specific examples from your past experience where you've successfully implemented these standards, especially in relation to Azure, SQL, and Python.
✨Showcase Your Collaboration Skills
Since the role involves working with various teams, think of instances where you've effectively collaborated with others. Prepare to share how you’ve navigated challenges in teamwork and how you ensured high data quality across different pipelines.
✨Prepare for Technical Questions
Expect some technical questions related to data management tools and practices. Brush up on your SQL queries, Python scripts, and any Azure functionalities that are relevant. Being able to demonstrate your technical expertise will set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s data transformation journey. Inquire about their current data governance challenges or how they measure data quality success. This shows you’re genuinely interested in contributing to their goals.