Quick Summary
Work with data engineers, software engineers, the data innovation team, and other stakeholders to understand data
Design, implement, and maintain scalable backend data services, ingestion engines, and APIs (REST / GraphQL / Event-driven) that expose data across internal systems and customer-facing features.
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 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!
As a Senior Data Engineer, you will take technical ownership of designing, building, and scaling the data-driven services that power Ohme’s core business operations and smart energy platform. You will drive the engineering of high-impact data products, working at the intersection of data engineering, software architecture, and product innovation, you will ensure our data products are resilient, scalable, and delivered with low latency.
Responsibilities
~1 min read- →Collaborate: Work with data engineers, software engineers, the data innovation team, and other stakeholders to understand data requirements and deliver innovative solutions.
- →Architect & Build Data Products: Design, implement, and maintain scalable backend data services, ingestion engines, and APIs (REST / GraphQL / Event-driven) that expose data across internal systems and customer-facing features.
- →Automate: Utilize Infrastructure as Code (IaC) tools, especially AWS Cloud Development Kit (CDK), to automate the deployment and management of data infrastructure.
- →Product Mindset: Treat data as a product, caring about latency, API design, stability, user experience, and business impact.
- →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.
- Proven professional experience as a data engineer building data platforms and APIs within AWS (S3, Lambda, Glue, Athena, Eventbridge, DynamoDB, API Gateway, Appsync) and Snowflake
- Possess strong IaC (preferably AWS CDK) and Python skills.
- Any experience with AWS Kinesis / Apache Flink or other real time streaming analytics setup is a bonus.
- Ideally, you come from a software engineering background and are familiar with common practices such as environment separation, CICD, TDD, and Agile methodologies.
- Comfortable working with Git and the command line.
- Excellent problem-solving and analytical skills, with a great engineering mindset.
- Knowledge of the electric vehicle industry is a plus.
What We Offer
~1 min readYou’ll get to work in a fast-paced and rapidly growing scale-up with global ambitions that is cutting edge, passionate about sustainability and seeks to make the world a better place.
Our benefits:
Location & Eligibility
Listing Details
- Posted
- October 2, 2026
- First seen
- October 2, 2026
- Last seen
- October 2, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- October 2, 2026
Signal breakdown
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