At a Glance
- Tasks: Ensure data quality and availability for electric vehicle charging solutions.
- Company: Join a forward-thinking company dedicated to a zero-carbon future.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Be part of a passionate team driving innovation in the EV sector.
- Why this job: Make a real difference in the transition to sustainable transport while developing your data skills.
- Qualifications: Experience in data engineering and strong analytical skills required.
The predicted salary is between 40500 - 49500 £ per year.
Purpose of job: Our aim is to become a market leader in the provision of Electric Vehicle charging solutions to Local Authorities and businesses, supporting the transition to a zero-carbon future.
The goal is to undertake an ambitious electric vehicle charging installation program, deploying high volume and quality EV installations across the nation.
Our aim is to make the world a better place, one charge point at a time.
The Data Engineer will work within Zests Data team to ensure the suitability and availability of all data sources contained within the data lake through close collaboration with the IT development team.
The role is also key to providing insights to business leaders through gathering requirements and presenting back important analytical findings and supporting data improvement processes.
Key
Accountabilities: The role is responsible for the f...
Data Engineer employer: Zest Eco
Zest is an exceptional employer, dedicated to fostering a collaborative and innovative work culture that empowers employees to contribute meaningfully to the transition towards a zero-carbon future. With a strong focus on professional development, Zest offers numerous growth opportunities for its team members, alongside competitive benefits and a commitment to work-life balance, making it an ideal place for passionate individuals looking to make a positive impact in the electric vehicle charging sector.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Zest Eco!
✨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 Data Engineer at Zest Eco.
✨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 Zest Eco.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Zest Eco, 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 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 Zest Eco, 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 Zest Eco. 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 Zest Eco
✨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 Zest Eco!
✨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.
