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# Analytics Engineer

- **Company:** EcoOnline
- **Location:** Edinburgh, UK
- **Experience:** Experienced
- **Salary:** £59,839.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Automation of Tests, Big Data, Software as a Service, Continuous Integration, Information Engineering, Data Infrastructure, Data Warehousing, DevOps, Python (Programming Language), PostgreSQL, Power BI, SQL Databases, Tableau (Software), Data Processing, Cloud Platform System, Git Flow, Data Analytics, Data Management, Tools for Reporting, Looker Analytics, Software Version Control, Data Pipelines, Amazon Redshift
- **Published:** August 7, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5831460549

## About the Role

Professional Experience:

 * Typically, 3-6 years of experience in Analytics Engineering, Data Engineering, Data Analytics, or a similar data-focused role.

 * Experience working with sustainability, ESG, or geospatial (GIS) data is advantageous, highly desirable.

 * Experience building data pipelines, transformations, and analytics datasets in production environments.

 * Experience working with cloud-based data platforms, ideally within SaaS or product-led organisations.

 * Experience collaborating with software engineers, product managers, and analysts to deliver data-driven features and insights.

 * Experience working with modern engineering practices such as version control, automated testing, and CI/CD pipelines.

Technical Experience:

 * Experience working with modern data platforms and tooling such as Airflow, dbt, AWS, Amazon Redshift, and PostgreSQL.

 * Experience developing data pipelines and transformations using Python or similar data processing languages.

 * Strong proficiency in SQL and experience working with large datasets.

 * Experience building analytics-ready data models and curated datasets for reporting and product features.

 * Experience working with BI and analytics tools, with Amazon QuickSight preferred, though experience with other platforms such as Looker, Power BI, or Tableau is also valuable.

 * Familiarity with data warehouse and lake architectures and best practices for scalable data modelling.

 * Experience working with Git-based workflows and CI/CD pipelines.

## Description

* Develop and maintain reliable data pipelines and transformations, ensuring sustainability and climate datasets are accurate, scalable, and available for analytics and reporting.

 * Design and manage analytics-ready data models and datasets that support dashboards, reporting, and product features across the ESG platform.

 * Deliver clear and reliable analytics outputs, including dashboards and visualisations that turn complex environmental data into actionable, decision-ready insights.

 * Maintain high standards of data quality and governance, implementing validation, monitoring, and documentation to ensure trusted and well-understood datasets.

 * Collaborate with engineers, product managers, and domain experts to integrate data capabilities into the ESG platform and support the delivery of new analytics features.


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