Data Engineer

About MIGx
MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others.

MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed Services and compliance.

The Opportunity
We’re looking for a Data Engineer to join our growing Data and AI Engineering team of professionals who thrive at the intersection of data, technology, and healthcare. Whether you're early in your career or already have hands-on experience, we welcome curious minds, team players, and problem-solvers eager to build high-quality data solutions for the life sciences industry.

At MIGx, you’ll contribute to modern data mesh and data fabric architectures, develop cloud-native pipelines, and help implement DataOps practices that ensure our systems are robust, observable, and production-ready.

​​​​What We’re Looking For
We believe diverse perspectives and backgrounds lead to better ideas. Even if you don’t meet every requirement, we’d still love to hear from you.

Core Experience & Skills

• Hands-on experience delivering production-grade solutions in Databricks, ideally on Azure.
• Strong practical knowledge of Unity Catalog (governance, permissions, catalog/schema design, lineage).
• Solid Python + PySpark + SQL skills for transformation, automation, and troubleshooting.
• Working knowledge of data quality, validation frameworks, and test-driven data development.
• Experience with Managed Tables and Lakehouse best practices.
• Experience building Databricks pipelines using Jobs/Workflows/DLT.
• Proven experience with Databricks Asset Bundles (DABs) for packaging and deployments.
• Understanding of DataOps concepts, including reproducibility, automation, and collaboration.
• Team-first mindset and experience in agile environments (Scrum or Kanban).
• Professional working proficiency in English (our internal and client-facing working language).