Analytics Engineer

EcoOnline
Edinburgh, UK
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
£59,839.0
Working hours
Regular working hours

Tech stack

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)
+14 more
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

Job 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.

Requirements

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.

Benefits & conditions

We offer a variety of global benefits which are listed below! Please note a country-specific breakdown will be provided during your interview process.

  • Generous Paid Time Off

  • Extended Parental Leave

  • ️ Robust Health Coverage

  • Accelerated Learning Paths

  • ️Team Wellness Initiatives

  • Company-wide Events

  • Employee Resource Groups

  • ️ Recognition awards

About the company

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 deliver solutions 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!, 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.co.uk

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