At a Glance
- Tasks: Lead data migration projects, resolving legacy issues and ensuring data accuracy.
- Company: FINE+RARE, a global leader in fine wine and spirits asset management.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a tech-driven team focused on innovation and excellence in the fine wine industry.
- Why this job: Make a real impact by solving complex data challenges in a dynamic environment.
- Qualifications: Strong SQL skills, experience with ETL processes, and a structured problem-solving approach.
The predicted salary is between 50000 - 60000 £ per year.
FINE+RARE is a global, technology-driven marketplace redefining the fine wine and spirits industry. Our proprietary platform integrates e-commerce, portfolio management, and logistics to enhance customer engagement, optimise liquidity, and streamline transactions. Operating across the U.S., UK, Europe, and Asia, we combine data-led insights, deep industry relationships, and a multi-channel approach spanning account management, digital platforms, auctions, and events. As one of the world’s largest fine wine and spirits asset managers, overseeing $750m+ in client assets, we provide collectors and investors with unrivalled access to the world’s rarest bottles and sophisticated portfolio solutions.
About the role
This role is focused on delivering a critical phase of Vinfolio’s (our U.S. entity) data migration. The position is centred on resolving legacy data issues, stabilising core data structures, and ensuring customer portfolios, inventory, and transactions are accurate, complete, and operationally reliable. The role is outcome-driven: establishing a data environment the business can trust and operate from, without reliance on legacy systems or manual reconciliation. Positioned between engineering and operations, this role works directly on real business problems rather than abstract data tasks. It requires a structured approach to untangling complex, inherited data issues and translating them into scalable, system-led solutions. This is a high-impact, delivery-focused role where you'll work on real, business critical problems with clear outcomes and ownership from day one. This is a 6 months fixed-term contract, depending on delivery timelines.
Key Responsibilities
- Lead the completion of Vinfolio’s data migration, resolving outstanding issues across customer portfolios, inventory, and transactions.
- Reconstruct and validate complex historical data, including broken transaction chains and misaligned holdings.
- Ensure SAP and connected systems reflect a consistent, accurate, and operationally reliable data position.
- Identify systemic data issues and implement scalable, repeatable solutions to reduce manual intervention.
- Design and maintain data pipelines across SAP, CRM, catalogue, and reporting layers, ensuring reliable data flow and integrity.
- Establish and enforce data quality standards, including validation, reconciliation, and issue tracking.
- Support the transition away from legacy systems (e.g. NetSuite), removing reliance on manual reconciliation and fallback processes.
- Partner with engineering, operations, and customer teams to translate real-world issues into structured data solutions.
- Document data structures, processes, and decisions to support ongoing scalability and business use.
What we’re looking for
- Strong SQL skills, with the ability to transform, analyse, and reconcile complex datasets.
- Experience working with data pipelines and ETL processes across multiple systems.
- Solid understanding of data modelling and relational database structures.
- Proven ability to work with incomplete, inconsistent, or legacy data environments.
- A structured, analytical approach to solving complex data problems.
- Ability to translate business requirements into practical, scalable data solutions.
- Clear communication skills, able to work effectively with both technical and non-technical stakeholders.
- Experience with Azure Data Factory or similar tools.
- Familiarity with ERP systems (e.g. SAP) or transactional platforms.
- Exposure to data warehousing and reporting tools (e.g. Power BI).
- Experience supporting or delivering data migration projects.
- Familiarity with Python or similar tools for data processing.
Additional expectations
- Comfortable using AI tools to support analysis and problem-solving, while maintaining a strong grasp of underlying data logic.
- Structured and delivery-focused, with a bias toward completion over open-ended exploration.
- Able to operate in a changing environment where priorities are driven by business impact.
Data Migration Engineer: SAP, ETL & Data Quality employer: FINE+RARE
FINE+RARE is an exceptional employer that champions a dynamic and innovative work culture, where technology meets the fine wine and spirits industry. Employees benefit from a collaborative environment that encourages professional growth through hands-on experience with real business challenges, particularly in data migration and management. With a global presence and a commitment to excellence, FINE+RARE offers unique opportunities to engage with cutting-edge technology while contributing to a market leader in asset management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Migration Engineer: SAP, ETL & Data Quality
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data migration projects, SQL queries, or any relevant work. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions related to data migration and ETL processes. Be ready to discuss how you've tackled complex data issues in the past and how you can bring that experience to the table.
✨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, it shows you're genuinely interested in joining our team at FINE+RARE.
We think you need these skills to ace Data Migration Engineer: SAP, ETL & Data Quality
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Migration Engineer role. Highlight your SQL skills, experience with ETL processes, and any relevant projects you've worked on. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data migration and how you can help us tackle those legacy data issues. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills; demonstrate them! Share examples of how you've solved complex data problems in the past. We’re looking for structured thinkers who can translate business needs into practical solutions.
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 shows us you’re keen to join our team at FINE+RARE!
How to prepare for a job interview at FINE+RARE
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your SQL skills and understand how to manipulate complex datasets. Be ready to discuss specific examples of how you've resolved data issues in the past, especially in legacy environments. This will show that you can handle the challenges FINE+RARE faces.
✨Showcase Your Problem-Solving Skills
Prepare to talk about your structured approach to solving complex data problems. Think of a few scenarios where you identified systemic data issues and implemented scalable solutions. This will demonstrate your analytical mindset and ability to translate business requirements into practical solutions.
✨Communicate Clearly with All Stakeholders
Since this role involves working with both technical and non-technical teams, practice explaining your past projects in simple terms. Highlight your experience in collaborating with different departments, as clear communication is key to ensuring everyone is on the same page during data migrations.
✨Familiarise Yourself with Their Tools
Get to know the tools mentioned in the job description, like Azure Data Factory and Power BI. If you have experience with similar tools, be prepared to discuss how you’ve used them in previous roles. Showing that you’re comfortable with their tech stack will give you an edge in the interview.
