About the profile
About MIGx
MIGx is a general 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.
Responsibilities
What You'll Do
Build and manage
ETL/ELT pipelines
using tools like
Databricks, dbt, PySpark
, and SQL.
Contribute to scalable
data platforms
across
cloud environments
(Azure, AWS, GCP).
Implement and maintain
CI/CD workflows
using tools such as
GitHub Actions
and
Azure DevOps
.
Apply
DataOps principles
: pipeline versioning, testing, lineage, deployment automation, and monitoring.
Integrate automated
data quality checks
, profiling, and validation into pipelines.
Ensure strong
data observability
via logging, metrics, and alerting tools.
Collaborate on
infrastructure as code
for data environments using
Terraform
or similar tools.
Connect and orchestrate ingestion from APIs, relational databases, and file systems.
Work in agile teams, contributing to standups, retrosp

📌 Data Engineer (Laza)
🏢 MIGx
📍 Laza