Energy Analytics Engineer

Veolia UK

Energy Analytics Engineer building Azure data pipelines and analytics tools for Veolia’s waste, water and energy transformation. Supporting carbon reporting, business intelligence and stakeholder solutions.

Posted 8/20/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 £40,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with proficiency in SQL, Python, and Azure tools. Capable of building and maintaining scalable data pipelines, generating business intelligence reports, and collaborating effectively with diverse stakeholders.

Highest-signal resume keywords

Data EngineeringSQL ProficiencyPython ProgrammingAzure Data FactoryPower BI Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AcquisitionETL ToolsData Pipeline DevelopmentData Manipulation LibrariesDatabase ManagementData AnalysisData DocumentationData GovernanceComplex Report MigrationAnalytics Tools

Soft Skills

Problem-SolvingAnalytical ThinkingCommunicationCollaboration

Tools & Technologies

Azure DatabricksPower BIDbtAzure

Industry Keywords

Big Data TechnologiesData Governance ProceduresHealth and Safety ComplianceEcological Transformation InitiativesCarbon Reporting

Tech Stack

Tools & technologies

AzureCloudETLPythonSQL

About the role

Key responsibilities & impact

Build, test and implement solutions for new data acquisition and end-to-end departmental data processes
Connect to third-party APIs using Python and return complex data from multiple endpoints
Implement processes to retain and refresh data within business systems
Generate curated datasets from raw input tables using preferred ETL tools
Document dataset lineage and implement integrated testing
Support development and operation of databases for invoice validation, cost reconciliation and supplier portfolio management
Design, develop and maintain robust, scalable data pipelines using Azure Data Factory, Azure Databricks and other relevant tools
Automate routine analysis and deliver business intelligence reporting
Support migration of complex report models into materialized tables within the data platform
Create, calculate and distribute information and reports to stakeholders
Maintain database and third-party software governance procedures and controls
Collaborate with front, middle and back office, DSR, Operations, Finance and senior management
Work with internal and external customers to understand requirements and identify suitable solutions
Build proof of concepts to demonstrate solutions
Troubleshoot and resolve data-related issues
Train and support non-technical users using analytics tools
Support ecological transformation initiatives and carbon reporting for internal and external customers
Comply with health and safety policies and procedures

Requirements

What you’ll need

Bachelor's degree in computer science, data engineering, or a related field
Proven experience in data engineering and analytics
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 and ability to collaborate with technical and non-technical stakeholders
Knowledge of cloud platforms such as Azure and big data technologies

Benefits

Comp & perks

Annual bonus
25 days of annual leave
Company pension scheme
Discounts on groceries and well-known retailers
Resources supporting physical, mental and financial health
24-hour access to a virtual GP for employees and household family members
One paid day of leave every year to volunteer and support the community
Ongoing training and development opportunities
Employee financial wellbeing support, including early access to earned pay, savings, budgeting, financial coaching and rewards