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(Senior) Software Engineer (all genders, full-/part-time)
Merck · Weiterstadt, Hessen, Deutschland
About The Role
Your Role
Data and AI are reshaping the way global organizations operate, and this role sits at the heart of that transformation. As a Software Engineer within our Enabling Functions Data Office, you will design and deliver high-impact data and AI solutions that power smarter ways of working across the organization. You will be part of a collaborative, internationally distributed team of engineers and architects, working within a Product-Oriented Delivery model to bring Analytics, AI, and data products to life at scale.
In this role, you will:
- Design, build, and maintain scalable applications, data pipelines, and platform components that translate complex business requirements from enabling functions such as HR, procurement, and legal into future-ready technical solutions.
- Develop robust applications and interfaces that replace manual processes with seamless, intuitive user experiences.
- Take ownership of data platforms, ensuring cost efficiency, governance, security, and compliance across the full data lifecycle.
- Partner closely with stakeholders across your delivery pod to understand business needs and shape the technical direction of solutions.
- Shape the future of data engineering within Enabling Functions, leveraging platforms such as Snowflake, AWS, and Palantir Foundry.
- Contribute to a growing Spain-based hub within a global team, with the opportunity to work on diverse and high-visibility AI use cases spanning automation, carbon footprint analytics, procurement intelligence, and more.
Who You Are
- You bring several years of proven expertise and experience in software engineering, including application design, development, and delivery within enterprise environments, with a strong foundation in writing clean, maintainable, and secure code.
- You are proficient in development platforms and languages such as Python and Spark, and you apply modern engineering practices including version control, CI/CD pipelines, and automated testing as a matter of course.
- You have hands-on experience with data platform technologies such as Palantir Foundry, Snowflake, and PySpark, and you are confident designing and delivering end-to-end data pipelines.
- You have a solid understanding of data pipeline architecture, data governance, data lineage, privacy and security controls, and compliance standards in enterprise-scale environments.
- You communicate complex technical concepts clearly and confidently to non-technical stakeholders, and you are comfortable translating business requirements into actionable technical solutions.
- Familiarity with AI workflows, MLOps, AI safety and guardrails, or CI/CD for AI components is a plus
- You hold a university degree or equivalent qualification in a relevant technical or engineering discipline.
- You are comfortable working in a distributed, international team environment and are open to occasional travel within Europe.
- Strong communication skills in English ; proficiency in German is a plus.
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