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# Software Engineer - Data Discovery

- **Company:** EMBL EBI
- **Location:** Hinxton, UK
- **Experience:** Experienced
- **Salary:** £39,636.0
- **Contract:** Temporary contract
- **Skills:** Web Interfaces, Java (Programming Language), JavaScript (Programming Language), Automation of Tests, Bash Shell, Apache Lucene, Continuous Integration, Data Discovery, Data Integration, Relational Databases, Graph Database, Python (Programming Language), Machine Learning, NoSQL, Search Technologies, Software Engineering, Apache Solr, TypeScript, Web Services, Software Organization, Scripting, Data Storage Technologies, Kubernetes, Information Technology, Atlassian Tools, Software Version Control, Docker
- **Published:** June 9, 2026
- **Apply:** https://www.totaljobs.com/job/software-engineer/embl-ebi-job107496037

## About the Role

* A degree in Computer Science or a related field;
 * A minimum of two years' experience in software development;
 * Good knowledge of Java;
 * Experience with JavaScript and/or TypeScript;
 * Experience with scripting languages such as Python and Bash;
 * Good communication skills;
 * Familiarity with modern software development practices and tools, including version control systems, CI/CD pipelines and automated testing.

You may also have

 * Experience in biomolecular or biomedical data and metadata integration;
 * Working knowledge of Solr, Lucene or Lucene-based search technologies;
 * Knowledge of Docker, Kubernetes or other deployment technologies;
 * Knowledge of additional data storage technologies, including relational databases, graph databases and NoSQL systems;
 * Familiarity with Linux/Unix environments;
 * Experience with collaborative development tools such as Jira and Confluence;
 * Experience with machine learning approaches, ideally in the context of data discovery.

## Description

* Integration and indexing of biological data and metadata, and provision of these through user-friendly web interfaces and web services for the international research community;
 * Development of new features within an established and evolving codebase;
 * Integration of the search platform with emerging AI technologies to enhance data discovery and improve user experience;
 * Development of lightweight and efficient approaches for integrating data from multiple domains;
 * Collaboration with colleagues across EMBL-EBI, applying industry-standard best practices to create and maintain efficient, reusable and well-documented software.


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