At a Glance
- Tasks: Lead the design of data warehousing architecture and manage pipelines from ingestion to analytics.
- Company: Join ev.energy, a pioneering company building the world's largest EV-centric virtual power plant.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on AI and excellent career advancement opportunities.
- Why this job: Be at the forefront of energy innovation and make a real impact on the future of the grid.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, and experience with cloud warehouses.
The predicted salary is between 60000 - 75000 £ per year.
About ev.energy
We are building the world's largest EV-centric virtual power plant (VPP). By connecting to vehicles, chargers, batteries, solar, and other distributed energy resources, we turn households into flexible grid assets that balance supply and demand, preventing blackouts and reducing reliance on fossil fuels. We are scaling rapidly across North America and Europe. We are moving fast, we are AI-first, and we are looking for builders who want to power the grid of the future.
About the role
Data is at the heart of everything ev.energy does — from measuring charging events and grid impact to calculating the utility incentives we pay drivers. As we scale our data function, we're hiring a Senior Data Engineer to lead the design of our warehousing architecture and own our pipelines end-to-end, from ingestion through to the analytics and payouts they power.
Requirements
- 5+ years in data engineering (or backend engineering with a heavy data focus)
- Hands-on at scale with a cloud warehouse (Snowflake ideally) and dbt; strong Python and SQL; solid data modeling, warehousing, and schema design
- Comfortable owning systems end-to-end in a fast-moving environment — you build it, you run it
- Already using AI coding tools day-to-day and excited to push how far they go
Also nice to have
- Experience supporting production ML or real-time analytics workflows
- Familiarity with CDC / streaming (Apache Iceberg, S3) and BI tooling (Holistics, Hex)
- Background in energy, IoT, payments, or another high-volume, correctness-critical domain
Senior Data Engineer employer: ev.energy
At ev.energy, we pride ourselves on being an innovative employer at the forefront of the energy transition, offering a dynamic work culture that fosters creativity and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technology in a rapidly expanding sector. Join us in our mission to build a sustainable future while enjoying the benefits of a flexible work environment and a team that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ev.energy!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at ev.energy.
✨Leverage Professional Networks
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 ev.energy.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at ev.energy, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ev.energy, 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 ev.energy. 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 ev.energy
✨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 ev.energy!
✨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.
