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: Flexible salary, remote work options, and a dog-friendly office culture.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on decarbonisation while working with cutting-edge technology.
- Qualifications: Experience in data engineering, distributed processing, and a passion for sustainability.
The predicted salary is between 56700 - 69300 £ 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.
What you'll do:
- 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.
What you'll have:
- 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.
Why else you'll love it here:
Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about!
Octopus Electric Vehicles, part of the Octopus Energy Group, won the Sunday Times best company to work for in 2024. We were named 6th out of the top 100 start-ups to work for by Tempo in 2025 and on Glassdoor we were voted 50 best places to work in 2022.
Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership.
Things to note:
Just to let you know, we are a dog friendly company so you may see our 4 legged friends in the offices - feel free to bring yours! Rest assured though, we've taken lots of precautions for those who have allergies.
We use AI to help us assess applications fairly and objectively. We’re totally fine with you using AI as a tool to help prepare too. That said, when we get to the interview and assessment stage, we’re really interested in hearing your unique perspective and real-world stories. That’s the stuff we can’t get from a bot or a prompt!
The electric revolution has arrived - and from 2035 you’ll no longer be able to buy a new petrol or diesel car in the UK. We’re building a whole new way for drivers to join the electric charge and not only learn about and shop for their EV online, but experience a 'lease for life' through an industry changing customer experience. This is the chance to join one of the UK’s most exciting start-ups – making it easy for individuals and businesses to go electric by getting their car, charger and energy all in one cracking deal.
If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. 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: Worklane GmbH
At Octopus, we pride ourselves on being an exceptional employer, offering a vibrant work culture in our brand-new Weybridge office. With an uncapped commission scheme, generous car allowance, and a commitment to personal growth, we empower our Sales Executives to thrive in a dynamic environment focused on sustainability and customer satisfaction. Join us to be part of a forward-thinking team that values inclusivity and innovation, ensuring every employee feels valued and supported.
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 Worklane GmbH!
✨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 Worklane GmbH.
✨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 Worklane GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Worklane GmbH, 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 Worklane GmbH, 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 Worklane GmbH. 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 Worklane GmbH
✨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 Worklane GmbH!
✨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.