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Senior Analytical Engineer
Worldwide | Sept. 14, 2026
Company: Octopus Energy Group
Country: Worldwide
Type: Onsite
Employment: Full-time
Description: Do you want to work in a caring environment that moves quickly? 5th French supplier in 10 years, Octopus Energy is a renewable energy supplier which acts as a true spearhead for the electro tech revolution. We are looking for an experienced and motivated Senior Analytical Engineer to join the transversal data team within Octopus Energy France. The data function in France brings together around fifteen data analysts, data scientists and data engineers, working in different business areas. This cross-functional team ensures that it builds solid, shared and reliable foundations. You will join this team in which you will work on analytical foundations, the semantic layer and data governance. This is a transversal role that will interface with business needs and other data practitioners. Design, develop and maintain shared data models, serving business needs (particularly financial) and management Be a technical point of reference for all financial and energy purchasing teams Structure and organize data governance to guarantee a single source of truth Guarantee the quality of our data models through the dissemination of best practices and monitoring the quality of our data Avoid redundancies and the accumulation of technical debt in order to have a clean lineage. Manage incidents on our most critical models Lead or co-facilitate training, coaching and routines dedicated to data teams Be the driving force behind the AI transition of our stack: creation of skills, demonstration of examples and use cases Ensure code quality via code reviews (PR reviews) on dbt models and SQL queries produced by other data practitioners Ensure consistency and relay common practices of the Octopus Energy group Contribute to the improvement of our shared models Experience & Technical Skills Minimum of 5 years of experience in analytical engineering, analytical data engineering, or analytics with a strong technical orientation Advanced mastery of dbt: experience on real-size projects, with structure, documentation and testing management Expert SQL — capable of optimizing complex queries on a modern data warehouse (BigQuery, Snowflake, Databricks or equivalent) You are comfortable in Python for automation and analytical scripts, knowing good development practices You are comfortable with data visualization tools and the programmatic management practices of these tools (e.g. “dashboard-as-a-code”). You have a good knowledge of analytical architecture patterns: Kimball, Data Vault, Medallion, or hybrid — and especially the why behind each choice Experience in data quality management Academic career in statistics Apply here: Web:
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How do we do it? We can't revolutionize the world by working like everyone else. We try not to worry too much, here we operate in an environment without too many processes or too many rules. The most important thing is not just to follow the movement, but to create it.
We don't want to create business clones. We want you, with your unique talents, perspectives and skills.
Data modeling and semantic layer:
Ensure data quality and standards:
Animate and improve the skills of the data community:
Ensure international coordination:
Profile sought:
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