Senior Data Engineer

TL;DR

Senior Data Engineer: Designing and delivering scalable data products supporting regulatory, operational, and digital transformation initiatives in a pharma environment with an accent on data pipeline development, data modeling, and defining data architectures. Focus on building robust data ecosystems and ensuring high data quality, lineage, and reliability.

Location: Full Remote from Prague, Czechia

Company

hirify.global is an IT consultancy firm that helps startups, mid-sized and large corporations create and deliver innovative technologies like AI, ML, BI, Web, and Automation for various industries.

What you will do

• Design, build, and maintain process and analytical data products across various ecosystems.
• Develop and integrate robust 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, and dbt.
• 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

• Work for an IT consultancy firm delivering services in fixed-price and time-and-materials models.
• Help customers achieve their business and IT strategies.
• Opportunity to work remotely.
• Collaborate within an innovative environment.