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Building scalable applications and data pipelines for Healthcare, Life Science, and Electronics. Several years of software engineering expertise in enterprise environments required. Python and Spark proficiency, clean code development.
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Anforderungen
- Several years of proven expertise in software engineering
- Application design, development, and delivery experience
- Experience in enterprise environments
- Writing clean, maintainable, secure code
- Proficiency in Python and Spark
- Modern engineering practices
- Version control usage
- CI/CD pipelines usage
- Automated testing usage
- Hands-on experience with Palantir Foundry
- Hands-on experience with Snowflake
- Hands-on experience with PySpark
- Designing and delivering end-to-end data pipelines
- Solid understanding of data pipeline architecture
- Solid understanding of data governance
- Solid understanding of data lineage
- Solid understanding of privacy and security controls
- Solid understanding of compliance standards
- Experience in enterprise-scale environments
- Clear communication of complex technical concepts
- Translating business requirements to technical solutions
- Familiarity with AI workflows
- Familiarity with MLOps
- Familiarity with AI safety and guardrails
- Familiarity with CI/CD for AI components
- University degree or equivalent qualification
- Relevant technical or engineering discipline
- Comfortable working in distributed, international team
- Openness to occasional travel within Europe
- Strong communication skills in English
- Proficiency in German
Aufgaben
- Design, build, and maintain scalable applications
- Design, build, and maintain data pipelines
- Design, build, and maintain platform components
- Translate complex business requirements into technical solutions
- Develop robust applications and interfaces
- Replace manual processes with seamless user experiences
- Take ownership of data platforms
- Ensure cost efficiency of data platforms
- Ensure governance of data platforms
- Ensure security of data platforms
- Ensure compliance across the data lifecycle
- Partner with stakeholders to understand business needs
- Shape the technical direction of solutions
- Leverage Snowflake, AWS, and Palantir Foundry
- Contribute to AI use cases in automation
- Contribute to AI use cases in carbon footprint analytics
- Contribute to AI use cases in procurement intelligence
Berufserfahrung
Ausbildung
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Tools & Technologien
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