At a Glance
- Tasks: Own and optimise our data platform architecture while building new data pipelines.
- Company: Join Octopus Electric Vehicles, a leader in sustainable transport solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving the electric revolution.
- Why this job: Make a real impact on decarbonisation and work with cutting-edge technology.
- Qualifications: Experience in data engineering, distributed processing, and a passion for sustainability.
The predicted salary is between 65000 - 78000 £ per year.
At Octopus Electric Vehicles we’ve built a data platform that provides data services to all areas of our business. The aim of the platform is to enable self-service of data analytics to data hungry internal users as well as automation of all our data workflows - from simple ETL jobs to ML training and prediction. The data team at OEV is growing at speed. We have invested time and resources on establishing a core data platform, and are now leveraging technology to automate processes and reporting, so we can focus on improving how our data platform works as a system - from improving data latency and reliability, to thinking about making our data ready for productionised data science applications.
We are looking for an experienced Senior data engineer that is equally passionate about using technology to grow the business and decarbonise the UK’s fleet. This is a fantastic opportunity to work on data problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers travel sustainably.
- Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc)
- Build new data sources and data pipelines that deliver key data and insights to the business (this will include integration with third party systems and ingestion through APIs)
- Scope and deliver new data engineering projects in collaboration with business stakeholders
- Develop and deploy ML infrastructure to help build out our ever-growing AI requirements and use cases
- Collaborate closely with our dev teams to build seamless integrations between our back-end databases and our data platform
- Shape the direction of our growing team and coach team members on best practices
You don’t need experience with electric vehicles (we can teach you that!), but having worked in similar environments might be a bonus.
- First and foremost, a passion for decarbonisation
- Ability to work with ambiguity and own problems end-to-end
- A passion for writing high quality code and building lean processes
- Experience with distributed data processing
- Experience with monitoring, testing, and data quality
- Experience building robust pipelines from diverse sources e.g. parquet, SQL & no-SQL databases, API endpoints
It would be helpful to have experience/expertise/knowledge in the following:
- Python
- AWS
- Kubernetes
- Spark & distributed computing
- dbt
- Terraform
- Data Warehousing (we use Databricks but experience with other platforms is fine)
- MLOps implementation (desirable but not required)
- Airflow (or other orchestration tooling)
- Governance
Our mission is to drive sustainable change, decarbonise the planet and provide our customers with fair pricing and a fantastic experience. We're an Octopus Energy company—an innovative new energy supplier. We are part of the Octopus Energy Group, which seeks to improve the lives of millions of people by transforming the industries we operate in. The Octopus Group incorporates Octopus Energy, Octopus Healthcare, Octopus Investments, Octopus Property, Octopus Ventures and Octopus Labs.
As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
Senior Data Engineer employer: Octoenergy
At Octopus Energy, we pride ourselves on being an innovative and forward-thinking employer, dedicated to creating a positive impact in the renewable energy sector. Our vibrant work culture fosters collaboration and creativity, allowing you to take ownership of high-impact products that genuinely enhance customer experiences. With ample opportunities for professional growth and a commitment to sustainability, joining our Low Carbon Tech team means being part of a mission-driven organisation that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Get Involved in Data Science Meetups
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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 Octoenergy.
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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!
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Craft a Tailored Cover Letter:For a full-time role at Octoenergy, 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 Octoenergy. 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 Octoenergy
✨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!
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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 Octoenergy!
✨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.