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# Research Software Developer / Information Engineer

- **Company:** Forschungszentrum Jülich GmbH
- **Location:** Julich, Germany
- **Salary:** €156,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Information Systems, Computer Programming, Information Engineering, Graph Database, Python (Programming Language), Metadata, Cadence Virtuoso, Next.js, Software Engineering, Apache Solr, TypeScript, Data Processing, Schema.org, Information Technology, Data Pipelines, OpenSearch
- **Published:** October 20, 2026
- **Apply:** https://recruiting.fz-juelich.de/jobposting/7e86db7fc56746cbe645c2763262c6b5a521b5a30

## About the Role

We are looking for someone who enjoys tackling challenging problems and turning ideas into reliable research infrastructure. You work well collaboratively, communicate technical ideas clearly, and are comfortable contributing to both implementation decisions and longer-term development directions. Ideally, you bring:

 * Master's degree or equivalent in computer science, data science, information engineering or a related field; a doctorate is welcome but not required.
 * Strong programming skills in Python and a willingness to develop software towards high levels of maturity, maintainability and operational reliability.
 * Experience with, or a strong interest in, metadata and information systems and relevant standards such as Schema.org, DCAT, Dublin Core or OAI-DC.
 * An analytical and solution-oriented mindset, with an interest in semantic technologies, knowledge graphs, data pipelines, APIs and research data infrastructures, and the willingness to learn new technologies and methods as required.
 * Experience working in larger-scale research collaborations, consortia or other multi-partner initiatives, combined with strong communication and organisational skills for coordinating activities, meetings, workshops or work packages across organisational boundaries.
 * Knowledge of technologies used in the HKG infrastructure, such as Next.js/TypeScript, Apache Airflow, QLever, Virtuoso or Solr/OpenSearch, is beneficial.
 * Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR), ideally supported by a certificate confirming the language level

## Description

You will work in a highly interdisciplinary team of software developers, data scientists, and metadata engineers. Your work will focus on extending and improving the Helmholtz Knowledge Graph and its surrounding infrastructure. This includes:

 * Developing and operating new features and services for the Helmholtz Knowledge Graph (HKG), from concept through reliable implementation and deployment.
 * Building metadata quality assessment and improvement workflows, including automated checks, validation, data processing and semi-automatic curation.
 * Set up data pipelines, extend semantic data models and curate APIs to integrate heterogeneous metadata and information assets.
 * Exploring new ways of connecting the HKG with research data and scientific services, including interfaces, APIs and supporting tools.
 * Investigating open technical questions, analysing requirements, evaluating possible approaches and turning agreed solutions into working infrastructure.
 * Working with data providers, research infrastructures and working groups in Helmholtz and beyond to understand requirements and incorporate community needs into technical development.
 * Supporting coordination activities within larger collaborations, including organising technical meetings and workshops, contributing to work package planning and coordination, and communicating with partners across Helmholtz and beyond.