Senior Data Engineer (Databricks)

TL;DR

Senior Data Engineer (Databricks): Designing and delivering scalable data products for regulatory and digital transformation initiatives in the pharmaceutical sector with an accent on data lineage, quality, and platform reliability. Focus on building and maintaining complex analytical pipelines within Databricks and Delta Lake ecosystems while bridging business requirements and technical architectures.

Location: Remote (Czechia headquarters, global role)

Company

hirify.global is an IT consultancy firm providing innovative software solutions including AI, ML, and BI for industries such as pharma, banking, and automotive.

What you will do

• Design and maintain analytical data products across MRL, MMD, and Appian ecosystems.
• Develop robust data pipelines ensuring high quality, lineage, and system reliability.
• Support regulatory data enablement and structured data submissions.
• Lead data modeling and define architectures using Databricks Delta.
• Translate complex regulatory requirements into detailed technical specifications.
• Collaborate with product owners and cross-functional engineering teams.

Requirements

• Hands-on experience with Databricks Delta, Delta Lake, Matillion, dbt, and Power BI.
• Proficiency in PySpark, Python, SQL, and PL/SQL.
• Experience designing data models using architecture frameworks like PowerDesigner.
• Understanding of data integration and data quality concepts.
• Experience with modern cloud-based data platform architectures.
• Strong communication skills for cross-functional collaboration.