Data Engineer - Royalties

Handle Recruitment

  • London
  • £65,000-75,000 per year
  • Permanent
  • Full-time
  • 20 days ago
We're working with a growing music & royalties business that provides services across royalty data, rights management, audit, and transactional services. This is an exciting opportunity to join a specialist team in a collaborative, agile environment and gain hands-on experience in the music space!Responsibilities:Build, maintain, and optimise data pipelines for ingestion, transformation, and analysis of royalty datasetsClean, standardise, and structure raw, inconsistent datasets to support valuation and due diligence workDevelop, test, and document transformation processes, applying data quality checks and validationCollaborate with the Transaction Services and central data teams to deliver accurate, actionable insightsContribute to internal projects, including development of dashboards, front-end applications, and analytical toolsApply best practices in version control, CI/CD, and cloud infrastructure managementIdentify opportunities to improve processes, systems, and data quality across the businessRequirements:Strong experience in SQL, Python, Spark, and cloud infrastructure (AWS, Databricks preferred)Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controlsFamiliarity with version control (Git), CI/CD concepts, and BI tools (e.g., Tableau)Experience handling large, inconsistent, or non-standard datasets with attention to accuracy and detailUnderstanding of medallion architecture and related data conceptsKnowledge of ML or LLM applications, front-end development (Streamlit, Dash, React), or financial reporting is a plusTypically 3-5 years' experience in a Data Engineer or equivalent roleAnalytical, proactive, and solutions-oriented, with the ability to work independently and manage multiple prioritiesCollaborative, adaptable, and comfortable in a fast-paced, high-growth environmentInterest in music rights, intellectual property, or financial data analysis is advantageous but not essentialHandle actively welcomes applicants from under-represented backgrounds - we pride ourselves on attracting the best talent for every opportunity through a commitment to equality, diversity and inclusion.

Handle Recruitment

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