At a Glance
- Tasks: Manage and document data journeys, ensuring quality and compliance.
- Company: Join a forward-thinking IT team in Manchester focused on data excellence.
- Benefits: Permanent full-time role with competitive salary and growth opportunities.
- Other info: Fast-paced environment with a chance to shape data processes.
- Why this job: Be a key player in transforming data into valuable assets for the business.
- Qualifications: Degree in relevant field and experience in data governance required.
The predicted salary is between 40000 - 50000 £ per year.
We are seeking highly skilled and experienced Data Stewards to join a newly formed group concentrating on Data. The primary focus of the role will be to serve as a ‘good steward’ of the data by documenting the journey of it from source to target and all transformations in between. The Data Steward will act as a bridge between the business and the technical team, helping to establish standards, ownership, and trust in our data assets. Ultimately, this is a key role that helps us manage and exploit data as an asset.
Key Responsibilities
- Complete and maintain the group’s Data Catalog
- Document data lineage, transformations and cleansing rules
- Work with Data Engineering to ensure data is handled correctly
- Help define effective Data Quality rules for the data they deal with
- Work with the Business and Data Engineers to help bottom out issues with the data
- Help drive root cause remediation of data issues at the platform/source
- Serve as a subject-matter expert in the datasets they deal with and serve as the point of contact for them within the team
About you
- Degree in Computer Science, Information Systems, Data Science, or a related field is preferable
- Proven experience in a Data Governance or Data Management program
- Familiarity with data privacy regulations (GDPR, CCPA)
- A background in financial data domains (IBOR/ABOR, transactions, market data, reference data)
- Strong experience within Real Estate, Credit, Banking, or NPL Asset Management
- Resourceful, motivated self-starter with the ability to collaborate across business and technology
- Strong analytical, verbal, and written communication skills
- Ability to acquire a deep understanding of specific datasets and how they flow
- Comfortable working in a fast-paced, evolving environment where processes are still being defined
- Proficiency in SQL is a must. Proficiency in Python is a plus
Data Steward in Manchester employer: Arrow
Contact Detail:
Arrow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Steward in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your data knowledge. Be ready to discuss data lineage, transformations, and quality rules. Show us that you’re not just a candidate, but a data enthusiast who can bridge the gap between business and tech!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and interests. Use our website to find roles that excite you and tailor your approach to each one. We want to see your passion shine through!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great chance to reiterate why you’d be a perfect fit as a Data Steward.
We think you need these skills to ace Data Steward in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Steward role. Highlight your experience in data governance and management, and don’t forget to mention any familiarity with data privacy regulations like GDPR. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data stewardship and how your background in financial data domains makes you a perfect fit. Let us know how you can bridge the gap between business and tech!
Show Off Your Technical Skills: Since proficiency in SQL is a must, make sure to showcase your technical skills clearly. If you’ve got experience with Python, throw that in too! We love seeing candidates who are resourceful and motivated self-starters.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Arrow
✨Know Your Data Inside Out
As a Data Steward, you’ll need to demonstrate your understanding of data lineage and transformations. Brush up on the datasets relevant to the role and be ready to discuss how they flow from source to target. This will show that you’re not just familiar with the data but can also act as a bridge between business and technical teams.
✨Showcase Your Analytical Skills
Prepare to highlight your analytical abilities during the interview. Think of specific examples where you've defined data quality rules or resolved data issues. Being able to articulate your problem-solving process will impress the interviewers and show that you can handle the responsibilities of the role.
✨Familiarise Yourself with Regulations
Since data privacy regulations like GDPR and CCPA are crucial in this role, make sure you understand them well. Be prepared to discuss how these regulations impact data management and governance. This knowledge will demonstrate your commitment to maintaining data integrity and compliance.
✨Practice Your SQL Skills
Proficiency in SQL is a must for this position, so brush up on your skills before the interview. Consider running through some common SQL queries and be ready to explain your thought process. If you have experience with Python, don’t hesitate to mention it, as it could give you an edge over other candidates.