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Analytics Engineer

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Just Eat Takeaway.com

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Location:
United Kingdom , London

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Category:
IT - Software Development

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Not provided

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Salary:

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Job Description:

We are looking for a passionate Analytics Engineer to join the Customer & Partner Care Product & Tech pillar. This is a critical new hire focused on building the foundational data layer that powers our product insights. You will play a pivotal role in enabling our Product Analysts to work with high-quality, reliable, and well-modelled data. Our team focuses on the end to end lifecycle for partners on our platform, and supports customers and partners in their moments of need. As part of a multidisciplinary team, you will transform raw data into clean, logical structures optimised for analysis and decision-making. You will work closely with Product Analysts, Data Engineers, and Product Managers to ensure data is actionable for product development, behavioral analysis, and operational efficiency.

Job Responsibility:

  • Provide clean, transformed data ready for analysis by designing and building scalable data models (using Kimball or Inmon techniques) within our data warehouse
  • Partner closely with Product Analysts to understand their data requirements for tracking user behavior, measuring KPIs, and designing experiment (A/B testing) frameworks
  • Apply software engineering best practices to analytics code, including version control (Git), testing, and CI/CD for models built with dbt and SQL
  • Create and maintain reliable data workflows and pipelines using modern tools like Airflow and dbt
  • Connect data models to visualisation platforms like Tableau or Looker, ensuring a "single source of truth" and support with maintaining a high-quality and well-governed semantic layer for use in analyst-owned data products
  • Maintain comprehensive data documentation and definitions to ensure metrics are consistent and well-understood across the Customer & Partner Care pillar
  • Contribute to shared tools and engineering standards within the wider JET data community

Requirements:

  • Proven experience in an Analytics Engineering or Data Engineering role, ideally within a fast-paced digital product environment
  • Advanced SQL skills and hands-on experience applying data modelling techniques to complex, real-world data problems
  • Production experience with dbt for transformation and Airflow for orchestration, building and maintaining production-level ETL/ELT data pipelines
  • Proficiency in Python for building data pipelines, scripting and automation
  • Proficiency in cloud data warehousing platforms, such as Google BigQuery or similar
  • A strong grasp of software engineering principles, including version control (Git) and automated testing methodologies in a data environment
  • A logical thinker with keen attention to detail and a sound understanding of relational data models
  • A collaborative mindset, eager to share knowledge and explain technical data concepts clearly to both technical peers (Analysts) and non-technical stakeholders

Additional Information:

Job Posted:
January 29, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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