Y Royalties – Data Engineer (London)

Royalties was established in 2023 by Colin Young, Ben Marlow and Gary Groutage. Offering services in Royalties Data, Rights Management, Audit and Transaction Services.

Y Royalties started from the Royalties division at Award Winning Accountancy firm, CC Young & Co, which has nearly 30 years of experience in the Music Industry this year. The success of this division along with our knowledge and experience gained over the years has enabled the birth of Y Royalties.

Our commitment to innovation led us to invest significantly in our data infrastructure in 2020. Our data warehouse now sits at the heart of all our services, enabling us to analyse royalties at the most granular level, highlighting trends, anomalies and opportunities in our client’s royalty income. The data warehouse is a driving force behind our catalogue valuations and due diligence, supported by a wealth of music industry and transaction experience, we aim to offer best-in-class services to all our clients.

Y Royalties is a data-led, relaxed and innovative workplace with a growing presence in the music rights space. Our Transaction Services team is small, agile and fast-growing — and this role is an opportunity to help shape its direction as we take on more high-profile projects.

You will learn about the flow of royalties, pitfalls of data, facets of different rights types, how to read publishing/record deals and everything needed to assist clients throughout the deal process and beyond.

You will have daily exposure to the senior management team – working closely with experts in the field will help to boost your personal development and enable you to contribute to the growth of an expanding, dynamic team.

An opportunity to join a fast-growing, highly specialised team, working closely with industry experts to develop skills and expertise in an exciting part of the business.

We’re looking for a Data Engineer to join our growing Transaction Services team. This role supports the team’s work in valuing and assessing music catalogues by providing the ingestion, standardisation and analysis of royalty data. As our work expands and becomes more specialised, this position will provide a dedicated data resource to support our valuation and due diligence processes.

You’ll play a hands-on role in processing royalty statement data, cleaning and standardising datasets that leverage our bespoke infrastructure, preparing outputs and carrying out analysis. You’ll also contribute to internal projects alongside our central data team.

Experience & skills you may have

• Strong working knowledge of SQL, Python, Spark, and experience with cloud infrastructure (ideally AWS and Databricks)
• Hands-on experience with:
• Building data pipelines in Spark within live production environments
• Coding transformation processes using tools such as dbt
• Implementing data quality checks and validation
• Applying CI/CD concepts and using version control systems (e.g. Git)
• Developing internal front-end applications using Streamlit, Dash, or React (preferred but not essential)
• Leveraging ML or LLM models for data cleaning and anomaly detection (preferred but not essential)
• Comfortable maintaining clear and structured documentation of data processes
• Solid understanding of medallion architecture and related data concepts
• Analytical mindset with practical experience using BI tools (e.g. Tableau)
• Proven ability to work with raw, inconsistent, or non-standard datasets
• A high-level understanding of basic accounting principles and financial reporting is preferred
• Typically 3–5 years’ experience in a Data Engineer or equivalent data-focused role

Personal attributes

• Intellectually curious, solutions-oriented, and comfortable navigating ambiguity
• Proactive problem solver with a mindset for improving systems and processes
• Strong collaborator, ideally with an interest in music rights, intellectual property, or financial data analysis (industry knowledge is a plus, not essential)
• Able to work independently, troubleshoot data issues, and recognise patterns in complex datasets
• Adaptable to changing priorities and capable of handling multiple workstreams
• Reliable, self-motivated, and eager to learn
• Detail-focused, with a strong emphasis on accuracy and consistency
• Takes ownership of tasks and demonstrates initiative in finding solutions
• Excellent communicator, capable of working effectively with colleagues, stakeholders, and clients

Equal opportunities

Y Royalties Ltd is committed to promoting equality of opportunity for all staff and job applicants. We aim to create a working environment in which all individuals are able to make best use of their skills, free from discrimination, and in which all decisions are based on merit.

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