At a Glance
- Tasks: Build and implement data solutions to support ecological transformation.
- Company: Join Veolia, a leader in environmental sustainability and innovation.
- Benefits: Up to £40,000 salary, annual bonus, 25 days leave, and health support.
- Other info: Hybrid work model with excellent career growth and community support.
- Why this job: Make a real impact on the environment while developing your skills.
- Qualifications: Degree in computer science or related field; experience in data engineering required.
The predicted salary is between 40000 - 40000 £ per year.
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.
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.
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 disabilit
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Energy Analytics Engineer employer: veoliauki
Veolia UK is an excellent employer, offering a supportive work culture that prioritises safety and collaboration. Located in Newhaven, East Sussex, employees benefit from comprehensive career development opportunities and a range of perks that enhance work-life balance, making it a rewarding place to grow your skills as a Mobile Plant Operator & Maintenance Assistant.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Analytics Engineer
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like veoliauki.
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We think you need these skills to ace Energy Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at veoliauki, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at veoliauki. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at veoliauki
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at veoliauki!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
