
Analytics Engineer
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("Market Average: Analytics Engineer"), this listing's salary midpoint is about 92% lower. The offer sits below the benchmark range (€3,787–€5,207). The offer's range width is broadly in line with the benchmark. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Analytics Engineer | €3,787/per month | €4,497/per month | €5,207/per month |
| Pay in our data — not quoted in ad (Mid-Level) | €316/per month | €375/per month | €434/per month |
Our ESG R&D team builds the technology behind our sustainability and climate intelligence solutions, helping organisations understand and reduce their environmental impact. We are a collaborative team of engineers and data specialists working closely with product and sustainability experts to turn complex environmental data into meaningful insights for customers around the world. We work as a distributed team across the UK and Canada, combining strong technical expertise with a shared commitment to solving real-world problems. As the platform grows globally, we are modernising our architecture, expanding our analytics capabilities, and exploring how AI can enhance sustainability insights. It’s an opportunity to join a team where your work directly contributes to helping organisations make better decisions for people and the planet. What we’re looking for: typically 3–6 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or similar data-focused role; experience building data pipelines, transformations, and analytics datasets; experience with cloud-based data platforms; collaboration with engineers, product managers, and analysts; modern engineering practices; sustainability/ ESG data is advantageous. Technical experience includes Airflow, dbt, AWS, Redshift, PostgreSQL, Python, SQL, BI tools like QuickSight/Looker/Power BI/Tableau, data warehouse/lake architectures, Git workflows. Our Benefits include generous PTO, parental leave, health coverage, learning paths, team wellness, events, ERGs, and recognition awards. We’re an equal-opportunity employer and provide accommodations. #LI-Hybrid
Job Details
Responsibilities
- Develop and maintain reliable data pipelines and transformations, ensuring sustainability and climate datasets are accurate, scalable, and available for analytics and reporting.
Requirements
- Typically, 3–6 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar data-focused role.
Skills & Technologies

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