Data Lead

About Moonbug Entertainment

Thank you for considering the Data Lead role with Moonbug Entertainment, an award-winning global entertainment company inspiring kids everywhere to laugh, learn and grow.  The company is behind some of the biggest kids’ entertainment brands in the world including CoComelon and Blippi. Moonbug believes every child should have access to our entertaining and enriching content, which is why our shows are available on more than 150 video platforms globally including Netflix, Disney+, BBC iPlayer and YouTube Kids. Moonbug is also a global leader in pre-school music and audio experiences, available on 100+ audio platforms globally. Moonbug brands extend far beyond the screen to include streaming music, toys, games, books, live events, and even theme park exhibits.  

Moonbug is part of Candle Media, an independent, creator-friendly home for cutting-edge, high-quality, category-defining brands and franchises. By bringing together elite talent operating at the intersection of content, community, and commerce, it helps to position leading entertainment businesses for accelerated, sustainable growth in the current market and beyond. 

📍London, Camden | Office based | Benefits including Free Private Healthcare, Enhanced Maternity and Paternity leave, matched 5% pension scheme, free yoga/fitness wellbeing classes, free weekly lunch and Friday drinks @ 4pm ✨

The Role

The Data Lead is responsible for driving Moonbug's data engineering, platform, and governance strategy - ensuring our data infrastructure, pipelines, and practices are robust, scalable, and aligned with business needs. This role sits under the CIO, works alongside the Tech Lead, and closely partners with the ML Lead, DataOps/Governance, and the BI & Analytics function to deliver a unified, high-quality data ecosystem.

Key Responsibilities

• Lead data engineering & platform initiatives across onshore & offshore teams (Data Engineers, DB Admin, API Integration).
• Enable ML & AI teams by ensuring data is well-modeled, accessible, and governed for predictive & automation initiatives.
• Uphold data quality, observability, security & compliance, partnering with DataOps & Quality roles to define standards.
• Partner with BI & Analytics to support self-service reporting & insights.
• Drive mentorship & technical best practices, fostering a collaborative, high-performance team.
• Bridge product, tech & operations, collaborating with Tech Lead and product managers on business priorities.

What Success Looks Like

• Stable, secure data pipelines serving ML, BI & operational needs with minimal incidents.
• Faster delivery of data initiatives across platform, ML & analytics.
• Governance models & data dictionaries adopted org-wide, improving trust.
• Clear growth and upskilling within the data engineering team.