Analytics Engineer

EcoOnline; City of Edinburgh; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Generous Paid Time Off

Extended Parental Leave

Robust Health Coverage

Accelerated Learning Paths

Team Wellness Initiatives

Company-wide Events

Employee Resource Groups

Recognition awards

Job summary

EcoOnline is expanding its ESG R&D team to build the technology behind sustainability and climate intelligence solutions. You’ll join engineers and data specialists turning environmental data into actionable insights for customers worldwide.

We work across the UK and Canada, modernising architecture and expanding analytics capabilities. The role offers opportunities to apply AI to enhance sustainability insights and help organisations make better decisions for people and the planet.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data modeling

CI/CD

Git workflows

Data pipelines

Analytics datasets

Cloud platforms

Tools

Airflow

dbt

AWS

Amazon Redshift

PostgreSQL

BI tools

Looker

Power BI

Tableau

Amazon QuickSight

Git

CI/CD pipelines

Job description

Want to be a part of a company that’s making a difference?

We’re a growing global tech company, with huge potential for curious and caring minds, committed to each other, to deliversolutions that protect people and the planet for future generations. Our team of experts are focused on creating meaningful impact and making a real difference for our customers.

Impact: A strong connection to our mission through product, customer and impact is essential. We protect people and the planet by helping businesses mitigate risks and create safer, healthier workplaces.

Innovation: Trusted by over 11,000 customers, you’ll have the chance to work with industry experts and thought leaders, dedicated to driving positive change. We believe in fostering a trusting environment that empowers our team to grow, innovate, and succeed.

Growth: Connect commercial growth to personal growth opportunities. Benefit from a wide range of learning opportunities for ambitious professionals seeking development in a rapidly expanding sector.

We’re on a mission to protect people and the planet by building and deploying transformative software. We need everyone's energy and commitment, regardless of region or rank, to make that mission a reality for millions more customers.

Our culture code, a set of principles that underpins our values, is our commitment to each other and working better together.

Join EcoOnline and be part of a mission dedicated to driving positive change. Read on to learn more about the opportunity and how you can have a positive impact!

About the Role

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 continues to grow 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

Key Responsibilities

• 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.

What we're looking for:

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.

Our Benefits:

• Generous Paid Time Off
• Extended Parental Leave
• Robust Health Coverage
• Accelerated Learning Paths
• Team Wellness Initiatives
• Company-wide Events
• Employee Resource Groups
• Recognition awards

EcoOnline is proud to be an equal-opportunityemployer. We celebrate diversity and are committed to creating an inclusive environment where everyone feels safe and empowered to be themselves. Our Talent Acquisition team reviews all applications and believes in the potential of individuals who may not meet all the specific requirements but demonstrate the attitude, alignment with our values and drive to succeed.

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need any assistance due to a disability, please speak to your talent acquisition partner.

At EcoOnline, we may use AI-assisted note-taking technology during interviews to help capture key discussion points accurately and allow interviewers to focus on the conversation. AI is used only as an administrative support tool. All candidate assessments and hiring decisions are made by trained recruiters and hiring managers. We are committed to handling personal information responsibly and in line with applicable privacy regulations.

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