Location
Hybrid - London, Kingscross N1 9JY

Hours
Full-time (40 hours per week, Monday - Friday)

Salary
Up to £40,000 per annum, depending on experience, plus annual bonus and other Veolia benefits

About the Role
At Veolia, we are committed to ecological transformation and helping the world take better care of its resources. As an Energy Analytics Engineer, you will play a key role in driving genuine change by developing and implementing data solutions that support our energy and sustainability goals. You will work with cutting-edge tools and technologies to build end-to-end data pipelines, automate analysis, and deliver rich business intelligence to stakeholders across the organisation.

Your responsibilities will include data ingestion by connecting to third party APIs using Python, data modelling with ETL tools to generate curated datasets, and supporting database development and management using Azure Data Factory, Azure Databricks, and other relevant platforms. You will automate routine analyses, support migration of complex models to the data platform, and maintain governance procedures to ensure data integrity.

You will collaborate regularly with teams across front, middle, and back office, including Operations, Finance, and senior management, to understand requirements and deliver effective solutions. Additionally, you will provide training and support to non-technical users, troubleshoot data-related issues, and contribute to Veolia’s carbon reporting initiatives.

Veolia offers a supportive working environment with 25 days of annual leave, access to a company pension scheme, discounts on retail and groceries, comprehensive health and wellbeing resources including 24/7 virtual GP access, one paid volunteer day per year, ongoing training and development opportunities, and employee financial wellbeing support.

Experience
Proven experience in data engineering and analytics, with expertise in Power BI, dbt, Databricks, and Azure. Proficiency in SQL, Python, and data manipulation libraries and frameworks. Experience working with cloud platforms (e.g., Azure) and big data technologies.

About you
Strong problem-solving skills and analytical thinking. Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. Motivated to support ecological transformation and deliver impactful data solutions. Able to work independently and as part of a team across multiple departments.

Qualifications
Bachelor's degree in computer science, data engineering, or a related field; a master's degree is a plus.