Location
Hybrid - London, Kingscross N1 9JY, 210 Pentonville Road

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 a variety of data sources, building end-to-end processes for data ingestion, modeling, and reporting to deliver rich business intelligence.

Your responsibilities will include building and maintaining data pipelines using Azure Data Factory and Databricks, connecting to third-party APIs with Python, and ensuring data quality through curated datasets and integrated testing. You will support invoice validation, cost reconciliation, and supplier portfolio management through robust database development and management.

You will collaborate regularly with teams across the business including Operations, Finance, and senior management, providing training and support to maximize the use of analytics tools. You will also help drive the rollout of carbon reporting for internal and external stakeholders, contributing directly to Veolia’s purpose of ecological transformation.

Veolia offers a supportive and inclusive culture with benefits such as 25 days annual leave, pension scheme, discounts, access to physical and mental health resources, virtual GP services, paid volunteer leave, ongoing training and development, 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. Ability to troubleshoot and resolve data-related issues promptly. Comfortable working in a hybrid environment and engaging with multiple teams.

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