At a Glance
- Tasks: Lead data migration and resolve complex data issues for a global marketplace.
- Company: FINE+RARE, a tech-driven leader in fine wine and spirits.
- Benefits: Competitive pay, flexible work environment, and hands-on experience.
- Other info: Join a fast-paced team with opportunities for growth and innovation.
- Why this job: Make a real impact by solving critical data challenges in a dynamic industry.
- Qualifications: Strong SQL skills and experience with data pipelines and ETL processes.
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 Engineer employer: FINE+RARE
FINE+RARE is an exceptional employer that champions a dynamic and innovative work culture, where data engineers play a pivotal role in transforming the fine wine and spirits industry. With a focus on employee growth, we offer opportunities to tackle real business challenges while collaborating with cross-functional teams, ensuring your contributions have a tangible impact. Located in a global marketplace, our team enjoys the benefits of a technology-driven environment that fosters creativity and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 GitHub repository showcasing your data 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 practising common data engineering questions and scenarios. Think about how you’d tackle real-world problems, especially those related to data migration and pipeline design.
✨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 Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your SQL skills, experience with data pipelines, and any relevant projects you've worked on. We want to see how your background aligns 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 engineering and how you can help us tackle those complex 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; show us how you've used them to solve real-world problems. Whether it's through past projects or specific examples, we want to know how you approach challenges and deliver results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at FINE+RARE!
How to prepare for a job interview at FINE+RARE
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and understand data modelling thoroughly. Be prepared to discuss how you've transformed and reconciled complex datasets in the past, as this will show your technical prowess and ability to handle the role's requirements.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've tackled legacy data issues or worked with incomplete datasets. Be ready to explain your structured approach to solving these problems, as it will demonstrate your analytical mindset and how you can contribute to resolving Vinfolio’s data migration challenges.
✨Communicate Clearly with All Stakeholders
Practice explaining technical concepts in simple terms, as you'll need to work with both technical and non-technical teams. Highlight your experience in collaborating with different departments to translate business needs into practical data solutions during the interview.
✨Familiarise Yourself with Relevant Tools
Get comfortable with Azure Data Factory, SAP, and any other tools mentioned in the job description. If you have experience with Python or data warehousing tools like Power BI, be sure to mention it, as this will set you apart from other candidates.
