At a Glance
- Tasks: Lead and optimise our data platform while mentoring a high-performance team.
- Company: Join Octopus Electric Vehicles, a leader in decarbonisation and innovative tech solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on sustainability through cutting-edge data engineering projects.
- Qualifications: Experience in data engineering, team leadership, and a passion for high-quality code.
The predicted salary is between 70000 - 90000 £ per year.
At Octopus Electric Vehicles we’ve built a data platform that provides data services to all areas of our business.
Key Responsibilities
- Own and optimise our platform architecture (improve reliability, scalability, maintainability, etc)
- Shape the direction of our growing team and coach team members on best practices.
- Shape engineering outputs and raising the technical bar of the organization without losing touch with hands-on engineering
- Interact with Senior Leadership to present your data projects back to them
- 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
Requirements
- First and foremost, a passion for decarbonisation
- Ability to work with ambiguity and own problems end-to-end
- Experience managing/mentoring/coaching high performance data teams
- 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
- 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)
- #J-18808-Ljbffr
Data Engineer (Tech Lead/Staff) employer: NextGenEnergyJobs
NextGenEnergyJobs is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about driving change in the home energy sector. With a strong emphasis on employee growth, we offer ample opportunities for professional development and mentorship, ensuring that our team members thrive in their roles. Located in a vibrant area, we provide a dynamic environment where your contributions directly impact our mission to create sustainable energy solutions.
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We think this is how you could land Data Engineer (Tech Lead/Staff)
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We think you need these skills to ace Data Engineer (Tech Lead/Staff)
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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✨Brush Up on Your Statistics
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✨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.
