Who we areThe FINE+RARE Group is redefining the fine wine and spirits industry through a technology-driven, data-rich marketplace. Our proprietary platform seamlessly integrates e-commerce, portfolio management, and logistics, creating a sophisticated digital ecosystem that enhances customer engagement, optimises inventory liquidity, and streamlines transactions. With operations spanning the US, UK, Asia, and Europe, we continuously evolve our platform to drive automation, scalability, and omnichannel accessibility. Our strategic acquisitions and marketplace innovations have strengthened our position as the premier destination for fine wine and spirits collectors worldwide, ensuring seamless access to the world’s rarest and most sought-after bottles.
At the heart of the FINE+RARE Group is a network of deep relationships with the world’s leading collectors, producers, merchants, and négociants built over decades of trust, expertise, and market insight. As one of the largest fine wine and spirits asset managers globally, we oversee over $750 million in client assets, providing data-led portfolio strategies, liquidity solutions, and market access tailored to the evolving needs of high-value collectors and investors. Our multi-channel strategy spans bespoke account management, a state-of-the-art website, an evolving auction platform, and a growing suite of editorial content, live talks, and events.
This structure enables a global-to-local approach, where centralised insights and acquisition tools power regional execution, ensuring that each market benefits from optimised pricing intelligence, targeted content, and seamless customer journeys. By leveraging advanced global acquisition tools, we are strengthening brand reach while enabling highly localised engagement through personalised account management in key markets, AI-driven recommendations on our platform, or regionally relevant content and events.
About the RoleAs a Junior Data Engineer, you will play a key role in supporting the design, development, and optimisation of data pipelines that drive business intelligence, trading operations, and customer insights across our global ecosystem. This is an ideal entry-level opportunity for an individual with strong SQL skills, a working knowledge of Azure data services, and a passion for building reliable and scalable data infrastructure in a modern, cloud-native environment. This role will be remote-based in Budapest. However, some office work will be required.
ResponsibilitiesSupport the development and maintenance of scalable data pipelines using Azure Data Factory and SQL-based ETL processes. Assist in modelling, transforming and integrating data from multiple sources into our Azure Synapse and Databricks environments. Monitor data flows and troubleshoot performance or data integrity issues. Collaborate with business stakeholders to ensure timely access to clean, well-structured datasets. Implement data quality checks and validation routines in line with governance and compliance frameworks. Document technical processes and contribute to data architecture and workflow improvements. Skills & Experience Proficient in SQL for data extraction, transformation and analysis.
Good understanding of data modelling concepts and relational databases. Familiarity with Python for data workflow automation or data manipulation. Ability to interpret and work with business requirements to design appropriate data solutions. Strong analytical and problem-solving skills with attention to detail. Good communication skills and ability to collaborate across technical and non-technical teams. Awareness of data security and compliance standards (e. g. GDPR). Enthusiasm for learning and developing in a cloud-native, modern data environment. Desirable Exposure to Databricks, Azure Synapse, or Power BI. Experience working with cloud platforms (Azure). Familiarity with CI/CD tools or data versioning practices.
Why Work for Us?Competitive salaryRemote workingFull-time working (40 hours per week)Generous staff discountOpportunities for professional developmentBe part of a dynamic and collaborative work environment
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