Senior Data Engineer (Databricks)

TL;DR

Senior Data Engineer (Databricks): Designing and delivering scalable data products for regulatory, operational, and digital transformation in a pharma environment with an accent on data quality, lineage, and reliability. Focus on leading data modeling, defining data architectures, and translating complex business requirements into technical specifications.

Location: Full Remote (Prague, Czechia mentioned as HQ/base)

Company

hirify.global is an IT consultancy firm specializing in innovative technologies (AI, ML, BI) for various sectors like Pharma, Telecom, Energy, and Banking.

What you will do

• Design, build, and maintain process and analytical data products across various ecosystems.
• 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.
• 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.
• 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.