At a Glance
- Tasks: Develop innovative data products and collaborate with a dynamic team.
- Company: Join Ohme, a fast-growing cleantech company on a mission for clean energy.
- Benefits: Enjoy competitive salary, private health insurance, and flexible working arrangements.
- Other info: Be part of a diverse team that values collaboration and innovation.
- Why this job: Make a real impact in the EV and CleanTech industry while growing your skills.
- Qualifications: Technical degree with experience in data/software engineering and cloud technologies.
The predicted salary is between 63000 - 77000 £ per year.
Ohme is on a mission to accelerate the global transition to clean, affordable energy. We do that by serving as an integrated hardware and software smart-grid platform, focused on the residential EV charging market. The worlds of energy, transport and artificial intelligence are colliding and Ohme is at the heart of this new era. By using technology and data integrations to connect cars, chargers, people, energy providers and more, Ohme has a powerful platform that puts the consumer at the core. Ohme has been selling its chargers to consumers since mid 2019 and has had exponential growth since. We are now operating in multiple countries and have partnerships with the likes of VW, Mercedes, Octopus Energy, and other innovative brands. We are scaling up the business and are building out the team for rapid growth. If you’re interested in joining a fast-growing cleantech venture on a data and AI-first journey to speed up the global transition to clean, affordable energy, read on!
Are you a talented and driven Recent Graduate looking to make a significant impact? We are seeking a passionate individual to join our dynamic Data department. As a Graduate Data Product Engineer, you will be a key player in our data team, collaborating closely with data analysts, fellow data engineers and product stakeholders. Your role will involve developing our cutting-edge data products for both internal and external use.
Key Responsibilities:
- Collaborate: Work with data engineers, software engineers, and product stakeholders to understand data requirements and deliver innovative solutions.
- Design & Develop: Create and maintain scalable data pipelines, data architectures and data services (APIs) on AWS.
- Automate: Utilize Infrastructure as Code (IaC) tools, especially AWS Cloud Development Kit (CDK), to automate the deployment and management of data infrastructure.
- Innovate: Contribute to the development of Ohme’s data products that are central to our proposition.
- Optimize: Monitor and optimize the performance of data systems to ensure reliability and efficiency.
- Ensure Quality: Ensure data quality and integrity through rigorous testing and validation processes.
About You:
- You have a technical degree and some background in data/software engineering, either through work experience or your own projects.
- You appreciate the importance of software engineering best practices like IaC, testing, environment separation, and agile methodologies.
- You are comfortable working with Python, Git and cloud providers like AWS.
- You are motivated by solving real data challenges at scale; you have excellent problem-solving and analytical skills, and a great engineering mindset.
- Knowledge and interest in the EV/CleanTech industry is a plus.
Our values:
- Customer Obsessed - The customer is at the heart of everything we do.
- Brave - We try new things and lead through possibility.
- Collaborative - We believe our success is built on strong relationships.
- Do Good - We care about people and the environment.
- Progressive - We innovate, disrupt and are always learning.
Benefits:
- Competitive salary and bonus
- London Office - 3 days a week in the office
- Private Health Insurance
- Pension Scheme
- Life Assurance Scheme with death in service benefit of 4x salary
- Income Protection Scheme for long term illness
- Ride to Work Scheme
- Payroll Giving Scheme
- Season Ticket Loan to spread cost of travel over 12 months
- Eye Test every 2 years
Ohme is an equal opportunity employer. Diversity, Equity and Inclusion are at the heart of what we do and we encourage a culture where everyone can be themselves at work. We actively seek out a diverse range of talent and our policies ensure that every job application and employee is treated fairly, with equal opportunity to succeed and to feel included.
Graduate Data Product Engineer in London employer: Ohme
Ohme is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and strategic thinking are highly valued. Located in London, this role offers the unique opportunity to engage with cross-functional teams and contribute to impactful projects from the outset, while also benefiting from professional growth opportunities and a supportive environment that encourages continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Product Engineer in London
✨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 Ohme!
✨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 Graduate Data Product Engineer at Ohme.
✨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 Ohme.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Product Engineer at Ohme, 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 Graduate Data Product Engineer in London
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 Ohme, 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 Ohme. 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 Ohme
✨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 Ohme!
✨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.