Senior Data Engineer (Pharma)

TL;DR

Senior Data Engineer (Pharma): Designing and delivering scalable data products supporting regulatory, operational, and digital transformation initiatives with an accent on data quality, lineage, and reliability. Focus on data modeling activities, defining data architectures using Delta Lake and Databricks Delta, and translating business and regulatory requirements into clear technical specifications.

Location: Full Remote • Prague (Czechia)

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.

What you will do

• Design, build, and maintain process and analytical data products.
• Develop and integrate data pipelines ensuring high data quality, lineage, and reliability.
• Support regulatory data enablement, including structured data for submission content.
• Collaborate on data virtualization and ingestion into the MRL data lake as part of modernization initiatives.
• Lead data modeling activities and define data architectures using Delta Lake and Databricks Delta.
• Translate business and regulatory requirements into clear technical specifications.

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 data architecture frameworks (e.g. PowerDesigner).
• Solid understanding of data integration, data quality, and lineage concepts.
• Experience supporting cloud-based and modern data platform architectures.
• Strong communication skills and ability to work in cross-functional teams.

Culture & Benefits

• Successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation).
• Deliver services both in fixed-price and time-and-materials models.
• Helping customers achieve their business and IT strategies.