> Markdown version of [/jobs/ext/3256922-dataops-engineer](https://www.wearedevelopers.com/jobs/ext/3256922-dataops-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).

---

# DataOps Engineer

- **Company:** Scibite Limited
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Unix, Command-Line Interface, Cloud Computing, Code Review, Github, Python (Programming Language), DataOps, Software Engineering, Software Systems, Workflow Management Systems, Extensible Markup Language (XML), Delivery Pipeline, Pytest, Puppet, Terraform, Software Version Control, Service Stack
- **Published:** September 22, 2026
- **Apply:** https://startup.jobs/python-software-engineer-relx-india-pvt-ltd-els-div-c-10152580

## About the Role

* Experience in Python software development
 * Experience working with pytest or unittest and participating in code reviews
 * Proficiency with UNIX and command-line environments
 * Experience using version control systems, ideally GitHub
 * Experience working with cloud technologies such as AWS, GCP, or Azure
 * Excellent teamwork and problem-solving skills
 * Experience working in production environments
 * Experience with cloud orchestration tools such as Puppet or Terraform
 * Experience in Python GUI development
 * Experience working with ontologies or XML
 * Knowledge of compute clusters and workflow management

## Description

As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite's technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies and data products, while building automation and software solutions that improve efficiency and support customer outcomes., * Maintain and develop critical ontology import pipelines

 * Support the Ontology Team in updating and building new vocabularies and ontologies
 * Provide support for customer projects as required
 * Develop software to assist manual curation efforts
 * Develop and maintain automation pipelines across the DataOps team
 * Work with AWS Batch, Step Functions, and Lambda-based solutions
 * Collaborate closely with Data Science and Ontology teams
 * Contribute to the continuous improvement of DataOps processes and tooling