> Markdown version of [/jobs/ext/3578434-data-engineer](https://www.wearedevelopers.com/jobs/ext/3578434-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Ohme
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, Command-Line Interface, Continuous Integration, Data as a Services, Data Infrastructure, Data Systems, Amazon DynamoDB, Python (Programming Language), Software Engineering, Data Streaming, AWS Cdk, Test-Driven Development (TDD), Snowflake, AWS AppSync, Git, Servicebus, Infrastructure Automation Frameworks, Apache Flink, Graphql, Data Management, Api Design, Api Gateway
- **Published:** October 4, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-ohme-ev-com-10281817

## About the Role

* 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.

## Description

* 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.