Job Description

The acquisition by Sage of Spherics - the company behind the award-winning, carbon accounting software, led to the launch of an exciting new brand - Sage Earth. Combining the backing of a global SaaS business, with a combination of climate science expertise and bespoke technology, Sage Earth is ready to help Sage customers make net zero a reality. The Sage Earth software enables businesses to automate the collection of expenditure data and gather information on business activities to better understand their carbon footprint. Using the Greenhouse Gas Protocol methodology, this market-leading tech, helps business leaders set science-based targets and reduction strategies. Why is this so important to us? Well, because one of our values is being Human, and what\'s more Human than caring for one another\'s future?

As the first Principal Data Engineer at Sage Earth, you will be responsible for designing, building, and maintaining core data infrastructure and architecture. You will collaborate closely with Developers, Climate Scientists, Engineering and Product Leadership to ensure that data is collected, processed and accessible for analytical purposes efficiently. Your role will be crucial in advocating for best practices, exploring new technologies and driving innovation through data engineering.

--- Tech Stack & Infrastructure ---

Our current tech stack includes Typescript, NodeJS, PostgreSQL and Kotlin. From an infrastructure perspective, we have built our solution using Terraform, AWS (Amazon Web Services) and Docker. A familiarity with the above will help but is not essential to the role.

The successful candidate will have:

Significant hands-on experience in data modelling, database concepts and SQL, aligning this to wider technical decisions to support delivering modern mid to large scale data platforms and data processing pipelines that are resilient, high-performant, and scalable.

Proven experience with data processing frameworks and tools

Built and deployed large scale data centric applications and data pipelines

Knowledge and comfort working with both relational and non-relational databases

Practical experience of knowledge of developing real-world solutions and platforms in a client focused, agile environment

Have a deep understanding of data architecture, schema design / modelling and warehousing concepts

Experience with cloud-based data platforms such as AWS or Azure

Knowledge and comfort working in a dynamic abstract environment with a certain degree of uncertainty, using evidence and applying judgement to balance pace and risk

Excellent mentoring skills with the ability to coach junior engineers as appropriate

Confidence to interact with a variety of projects with conflicting deadlines, pushing back on leadership when expectations are not achievable

Experience of a Cloud Data Warehouse is desirable for future but not essential

An advanced degree (Bachelor/Masters) in Computer Science, Engineering or a related field is preferred but not essential

Experience with sustainability software or related technology solutions useful but not essential.

Key Responsibilities Design, implement and maintain data processing pipelines to ingest, aggregate, clean and process large data volumes in a scalable way.

Ability to solve data-oriented problems at scale

Collaborate with highly skilled cross-functional team members to understand the data requirements and deliver both relevant and actionable insights

Utilise stakeholders in relevant fields to ensure data quality, integrity and security through implementation of appropriate data validation, storage, and access controls

Utilise monitoring and logging for troubleshooting data processing systems to maintain optimal performance, identifying improvement areas and sharing these appropriately

Document data processing procedures, architecture, and best practices for fostering knowledge sharing both internally and externally to the team

Stay ahead of the curve with the latest trends, tools, and technologies within data processing domains to drive both innovation and continuous improvement and deliver high quality results

Collaborate effectively with Engineers, Product Managers and Climate scientists to understand data needs, representing key data insights in a meaningful way and assisting in translating complex business requirements into scalable solutions

Analysis and implementation of data automation tasks.

Oversight and implementation of pragmatic data governance methodology.

Spot opportunities for improvement on data engineering and business intelligence best practices.

Share your knowledge across the business and advise senior leaders on data modelling and reporting best practice.

Function Product Delivery

Country United Kingdom

Office Location Bristol

Work Place type Hybrid

Advert People make Sage great. From our colleagues delivering ground-breaking solutions to the customers who use them: people have helped us grow for more than forty years, and people are driving our future as a great SaaS company. We\'re writing our next chapter. Be part of it!

At Sage, we recognize that the world of work has rapidly shifted over the last few years, particularly how we work. That is why we have committed to working in a hybrid way going forward. Human connection is an essential ingredient of the 4 principles that make up our Flexible Human Work hybrid framework and we want to be transparent in what that looks like when you join our Sage family. On one hand, our offices will continue to play an important role in our future and serve as a place for spontaneous conversations, connection, collaboration as well as focused time. On the other hand, we have learned to reimagine where and when we work and to unlock that flexibility and innovation for our colleagues offering them the opportunity to work flex across their home, Sage offices or customer sites.

We invite you to join us and help us write our next chapter. Follow us on our social media sites to join in conversations about open positions and company news! #lifeatsage #sagecareers. If you would like support with your application (or require any adjustments) please contact us at for assistance. All qualified applicants will be thoughtfully considered and never discriminated against based on their race, colour, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.

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