(Senior) Software Engineer (all genders) 1
Merck KGaA
Software Engineer (Data & AI)
Location: India
Your Role
Data and AI are fundamentally reshaping how global organizations operate — and this role places you at the centre of that transformation. As a Software Engineer within the Enabling Functions Data Office, you will design and deliver high-impact data and AI solutions that power smarter, more efficient ways of working across the organization. Operating within a Product-Oriented Delivery model, you will be part of a collaborative, internationally distributed team of engineers and architects, bringing Analytics, AI, and data products to life at enterprise scale.
In this role, you will design, build, and maintain scalable applications, data pipelines, and platform components that translate complex business requirements from functions such as HR, procurement, and legal into future-ready technical solutions. You will develop robust applications and interfaces that replace manual processes with seamless, intuitive user experiences, and take full ownership of data platforms ensuring cost efficiency, governance, security, and compliance across the full data lifecycle. Partnering closely with stakeholders across your delivery pod, you will shape the technical direction of solutions and contribute to defining the future of data engineering within Enabling Functions, leveraging platforms such as Snowflake, AWS, and Palantir Foundry. You will also contribute to a growing Spain-based hub within a global team, working on high-visibility AI use cases spanning automation, carbon footprint analytics, procurement intelligence, and more.
Who You Are
- You bring substantial professional experience in software engineering, including application design, development, and delivery in enterprise environments, with a strong foundation in writing clean, maintainable, and secure code.
- You are proficient in 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.
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