Energy Analytics Engineer - Veolia

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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