OverviewAs Principal Data Engineer at Roche, you will steer GenAI and advanced analytics strategy, shaping data architectures and scalable pipelines for diagnostic products.
You lead technically while aligning with product and system architects to deliver high-impact, cost-efficient data initiatives.
You will mentor teams, improve data governance and ensure compliant, secure data practices in a healthcare context.
This role combines hands-on engineering with strategic leadership to advance Roche's data-driven mission.
ResponsabilidadesDefine and drive the future strategy for GenAI and emerging technologies in diagnostic data analytics
Design, implement, and optimize data architectures using AWS services for performance and integration
Build and optimize data processing workflows with PySpark, SparkSQL, SQL, Iceberg, Parquet
Improve data infrastructure performance, scalability, and cost efficiency on AWS
Provide technical direction and mentorship, enforcing code quality and CI/CD




Collaborate with engineering and business stakeholders to translate requirements into data-driven solutions
Advocate for data security, governance, and regulatory compliance (HIPAA, GDPR)
Requisitos principales5+ years of hands-on data engineering with leadership in technical projects
Expert-level AWS (S3, Redshift, Glue, Athena, EMR, Step Functions, MWAA)
Mastery of Python, SQL, and Spark
Experience with Dimensional Modeling, Data Partitioning, Terraform (IaC)
Ability to provide technical direction, architecture guidance, and cross-functional mentoring
Strong communication skills in English; Spanish is a plus
Bachelor's or Master's degree in Engineering
bridging business and technical needs
cross-functional collaboration
mentoring and leadership
Python
SQL
Apache Spark (PySpark, SparkSQL)

📌 Principal Data Engineer (España)
🏢 Roche
📍 España