Senior Data Engineer (all genders) Full-Time/Part-Time

Arbeitgeber: Merck KGaA

Work Your Magic with us!


Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.


Senior Data Engineer (all genders)


Your role:

In your role as Senior Data Engineer (all genders), you will design, build, and operate secure, scalable data solutions for Finance using Snowflake and modern cloud-native technologies. You will translate complex financial and business requirements into robust data products and reusable services, focusing on data modeling, ingestion, transformation, and serving layers. You will collaborate with Finance stakeholders, data owners, architects, and engineers to deliver data pipelines that support financial planning, forecasting, reporting, and self-service analytics while ensuring data quality, security, governance, and observability. You will contribute to reference architectures, engineering standards, automated testing, deployment processes, and operational excellence, while helping democratize access to trusted Finance data for authorized users. Your work will advance Project Lumina and related strategic initiatives, shaping the enterprise data and AI ecosystem.


Who you are:

- University degree in Computer Science, Information Technology, Engineering, or equivalent experience.
- Several years of professional experience in data engineering, analytics engineering, or related fields.
- Strong hands-on Snowflake experience: data modeling, SQL, performance tuning, security, and production workloads.
- Proven ability to design and implement cloud-based ETL/ELT data pipelines and data architectures.
- Proficient in Python and SQL; PySpark or distributed processing experience is a plus.
- Solid knowledge of data governance, quality, security, and lifecycle management; observability practices.
- Experience with APIs, streaming architectures (e.g., Kafka) or event-driven patterns is advantageous.
- Fluent English; German is a plus; ability to collaborate with both technical and non-technical stakeholders.


What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!


Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!