Senior Data Engineer (Pharma)

TL;DR

Senior Data Engineer (PySpark/Databricks): Designing and delivering scalable data products for regulatory and digital transformation in a pharma environment with an accent on data pipelines, lineage, and reliability. Focus on data modeling with Delta Lake, implementing virtualization, and translating regulatory requirements into technical specifications.

Location: Full Remote (Czechia)

Company

hirify.global is an IT consultancy firm that helps startups and corporations create and deliver innovative software solutions across various industries.

What you will do

• Design and maintain process and analytical data products across MRL, MMD, ERA, and Appian ecosystems
• Develop and integrate data pipelines ensuring high data quality, lineage, and reliability
• Support regulatory data enablement, including structured data for CTD submission content
• Lead data modeling activities and define architectures using Delta Lake and Databricks Delta
• Translate business and regulatory requirements into clear technical specifications
• Collaborate with product owners, SMEs, and engineering teams to ensure successful delivery

Requirements

• Hands-on experience with Databricks Delta, Delta Lake architecture, Matillion, dbt, and Power BI
• Proficiency in PySpark, Python, SQL, and PL/SQL
• Experience designing data models and working with frameworks like PowerDesigner
• Solid understanding of data integration, data quality, and lineage concepts
• Experience supporting cloud-based and modern data platform architectures
• Must be based in or be able to work from Czechia