At a Glance
- Tasks: Lead data migration, resolve legacy issues, and ensure accurate customer portfolios and transactions.
- Company: FINE+RARE, a tech-driven marketplace revolutionising the fine wine and spirits industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a global team and work on high-impact projects with clear outcomes.
- Why this job: Make a real impact by solving complex data problems in a dynamic environment.
- Qualifications: Strong SQL skills and experience with data pipelines and ETL processes.
The predicted salary is between 50000 - 65000 £ 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.
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.
- 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.
- 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 in London 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-world challenges while collaborating with cross-functional teams, ensuring your contributions have a meaningful impact. Located in a global marketplace, our commitment to technology-driven solutions and a supportive environment makes us an attractive choice for those seeking rewarding careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨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 integrity, as that’s what they’ll want to hear about.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your SQL skills and experience with data pipelines, as these are key for us. Use specific examples that showcase your ability to solve complex data problems.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share your passion for data engineering and how your past experiences align with our mission at FINE+RARE. Keep it concise but impactful!
Showcase Your Problem-Solving Skills:In your application, emphasise your structured approach to tackling data issues. We want to see how you've successfully navigated challenges in legacy data environments and implemented scalable solutions.
Apply Through Our Website:Don't forget to apply 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 on joining our team!
How to prepare for a job interview at FINE+RARE
✨Know Your Data Inside Out
Before the interview, brush up on your SQL skills and be ready to discuss how you've transformed and reconciled complex datasets in the past. FINE+RARE is looking for someone who can tackle legacy data issues, so prepare examples that showcase your analytical approach to solving these problems.
✨Understand the Business Context
Familiarise yourself with the fine wine and spirits industry and how data plays a role in enhancing customer engagement and optimising transactions. Being able to connect your technical skills to real-world business outcomes will impress the interviewers and show that you’re not just about the numbers.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical data issues or describe how you would handle specific challenges related to data migration. Think through potential scenarios where you might need to reconstruct historical data or ensure data integrity across systems, and be ready to articulate your thought process.
✨Communicate Clearly with All Stakeholders
Since this role involves working with both technical and non-technical teams, practice explaining complex data concepts in simple terms. Highlight your experience in collaborating with different departments and how you’ve successfully translated business requirements into practical data solutions.
