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Veolia UK

Energy Analytics Engineer

Posted 22 Days Ago
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In-Office
London, Greater London, England, GBR
Entry level
In-Office
London, Greater London, England, GBR
Entry level
Build and maintain data ingestion processes, APIs, data models, databases, and scalable pipelines using Python, Azure Data Factory, and Databricks. Automate analysis and reporting, support Power BI model migration, maintain data governance, troubleshoot issues, and collaborate with technical and business stakeholders. Provide user training, develop proof of concepts, and support carbon reporting and ecological transformation initiatives.
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Ready to find the right role for you?

Energy Analytics Engineer 

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

Location: Hybrid - London, Kingscross N1 9JY

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

When you see the world as we do, you see the chance to help the world take better care of its resources, and help it become a better place for everyone. It’s why we’re looking for someone who’s just as committed as we are, to push for genuine change and bring our ambition of Ecological Transformation to life. 

We know that everyone here at Veolia can help us work alongside our communities, look after the environment, and contribute to our inclusive culture.

What we can offer you;

  • 25 days of annual leave 
  • Access to our company pension scheme
  • Discounts on everything from groceries to well known retailers
  • Access to a range of resources to support your physical, mental and financial health; so you can lean on us whenever you need to
  • 24 hour access to a virtual GP, 365 days a year, for you and family members in your household
  • One paid days leave every year to volunteer and support your community 
  • Ongoing training and development opportunities, allowing you to reach your full potential
  • Employee financial wellbeing support: early access to your earned pay, savings, budgeting, financial coaching & rewards.
  • Stream - Employee financial wellbeing support: early access to your earned pay, savings, budgeting, financial coaching & rewards.

Responsibilities:

  • Data ingestion: Work to build, test and implement solutions for new data acquisition, building end to end process to support the entire department. Using python, connect to various third party APIs, returning complex data from multiple endpoints. Implement processes to retain and refresh this data within business systems.
  • Data Modeling: Using the businesses preferred ETL tools, generate curated datasets from raw input tables. Ensure all datasets have clear, documented lineage and integrated testing to protect against bad data entering datasets and polluting downstream data models.
  • Database Development/Management: Supporting development and operation of databases that can be used for invoice validation / cost reconciliation / supplier portfolio management. Design, develop, and maintain robust and scalable data pipelines using Azure Data Factory, Azure Databricks, and other relevant tools.
  • Analysis: Automate routine analysis to drive reporting delivering rich business intelligence.
  • Reporting: Support the Energy Data Analyst to migrate complex models within existing reports to materialize tables within the businesses data platform.
  • Communication and Reporting: Creation/Calculation/Distribution of relevant information and reports to stakeholders
  • Governance: Maintain procedures and controls required to ensure correct operation and updates of databases and third party software.
  • Teamwork: Interact on a regular basis with the front, middle and back office, DSR team, Operations, Finance and senior management.
  • Compliance with all H&S policies & procedures
  • Working with both internal and external customers on how they can use the tools that are deployed with them
  • Work with our department and external customers to understand requirements and find the best solution to meet their needs
  • Build proof of concepts with the business to showcase what we provide to meet their requirements
  • Troubleshoot and resolve data-related issues promptly.
  • Provide training and support to non-technical users to maximise the utilisation of analytics tools.
  • Support with driving solutions to help Veolia with our purpose of ecological transformation
  • Drive and support the roll out and delivery of our carbon reporting for both internal and external customers.

What we're looking for:

  • Bachelor's degree in computer science, data engineering, or a related field; a master's degree is a plus.
  • 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.
  • Strong problem-solving skills and analytical thinking.
  • Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.
  • Knowledge of cloud platforms (e.g., Azure) and big data technologies.

What’s next?

Apply today, so we can make a difference for generations to come.

We're proud to have been named as one of The Sunday Times Best Places to Work for three consecutive years in 2023, 2024 and 2025. This consistent recognition reflects our commitment to our people, demonstrating that Veolia is not just transforming the environment, we're also transforming what it means to have a rewarding, purposeful career. 

We're dedicated to supporting you throughout your application journey, offering adjustments where reasonable and appropriate. As a proud Disability Confident Employer, we will offer an interview to applicants with a disability or long-term condition who opt-in to the Disability Confident scheme, and meet the minimum criteria for our roles. 

We're also committed to ensuring that all applicants and colleagues receive fair treatment without discrimination on any grounds, aiming to create a diverse and inclusive workplace where everyone can thrive.

Veolia UK London, England Office

210 Pentonville Road, , England , GB, London, United Kingdom, N1 9

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