Energy Analytics Engineer — Hybrid (London) — Azure/Python

Veolia; City Of London; Hybrid; GBP 36,000 - 44,000; Full time

Benefits offered by this job

25 days annual leave

Company pension scheme

Employee discounts

Job summary

Veolia is seeking an Energy Analytics Engineer to join our London team. This hybrid role focuses on building and optimizing data pipelines, dashboards, and analytics to support environmental transformation initiatives.

You will work with Power BI, Databricks, and cloud data tools to deliver insights. The ideal candidate has a degree in CS or data engineering and experience in data engineering, analytics, and scripting (Python/SQL).

Qualifications

• Bachelor's degree in computer science, data engineering, or related field.
• Experience in data engineering and analytics with Power BI, dbt, Databricks, and Azure.
• Proficiency in SQL and Python.
• Strong problem-solving and communication skills.
• Knowledge of cloud platforms (Azure) and big data technologies.

Responsibilities

• Data ingestion: Build and implement data acquisition processes for the department, connecting to APIs and ensuring data retention in systems.
• Data Modeling: Create curated datasets with clear lineage and integrated testing to protect data quality.
• Database development/management: Design and maintain robust data pipelines using Azure tools like Data Factory and Databricks.
• Analysis: Automate routine analyses to deliver rich business intelligence.
• Reporting: Support migration of complex models into the data platform's reporting tables.
• Governance: Maintain controls for databases and third-party software.

Skills

Power BI

Databricks

dbt

Azure

SQL

Python

Data engineering

Analytics

Communication

Education

Bachelor's degree in computer science / data engineering

Master's degree (preferred)

Tools

Azure Data Factory

Databricks

Power BI

dbt

SQL tooling

Job description

Veolia is seeking an Energy Analytics Engineer to join our London team. This hybrid role focuses on building and optimizing data pipelines, dashboards, and analytics to support environmental transformation initiatives.

You will work with Power BI, Databricks, and cloud data tools to deliver insights. The ideal candidate has a degree in CS or data engineering and experience in data engineering, analytics, and scripting (Python/SQL).