Senior Analytics Engineer

TL;DR

Senior Analytics Engineer: Building scalable, reusable data models and curated datasets that power analytics, BI, product, and data science use cases with an accent on data quality, testing, and business alignment. Focus on designing trusted data products, implementing automated checks and documentation, and collaborating with cross-functional teams to define KPIs and metrics.

Location: Holborn - London

Company

Media and entertainment company building a next-generation AI-driven intelligence platform.

What you will do

• Design, build, and maintain scalable data models and curated datasets for analytics, BI, product, and data science.
• Implement testing frameworks, automated checks, and documentation to ensure data accuracy and reliability.
• Partner with Analytics, Product, Data Science, and commercial teams to define KPIs, business logic, and data definitions.
• Improve discoverability, scalability, and reusability of datasets.
• Embed into agile processes and cross-functional teams to support key commercial and product decisions.

Requirements

• Analytics engineering or similar data modelling experience.
• Strong SQL skills with cloud data platforms like Snowflake.
• Proven data modelling for scalable, reusable structures.
• Experience with dbt, Python, Airflow, git, CI/CD, and testing frameworks.
• Strong data quality practices including validation and documentation.
• Stakeholder collaboration to translate business needs into datasets.
• Clear communication of technical concepts to diverse audiences.
• Detail-oriented, pragmatic mindset for fast-moving environments.

Culture & Benefits

• Think big: Build foundational models for AI-driven platform.
• Own trusted datasets underpinning key decisions.
• Keep it simple: Transform complex data into clear products.
• Better together: Collaborate across Data Engineering, Product, Analytics, and Commercial teams.
• Inclusive culture celebrating diversity; reasonable adjustments for different needs.