Databricks Engineer (Databricks)

TL;DR

Databricks Engineer (Databricks): Designing and building scalable data platforms and pipelines to support Augmented Delivery use cases with an accent on data lakehouse architectures and Master Data Management. Focus on developing optimized SQL and Python transformations, ensuring data governance, and integrating complex engineering asset data.

Location: Romania (Bucuresti, Cluj-Napoca, Iasi, Timisoara, Brasov, Bucharest)

Company

hirify.global is a global professional services company providing digitally enabled, end-to-end solutions for complex infrastructure and technology challenges.

What you will do

• Design and develop data pipelines and data products within Databricks to support Augmented Delivery use cases.
• Build and maintain scalable data architectures, including data lakes, lakehouses, and data warehousing solutions.
• Develop and optimize SQL and Python-based data transformations.
• Implement Master Data Management (MDM) solutions for engineering asset standardization and codification.
• Ensure data quality, consistency, and governance across platforms.
• Collaborate with digital engineering teams using DevOps practices, including CI/CD, version control, and testing.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Engineering, or related field.
• Professional experience as a Data Engineer or in a similar role.
• Strong proficiency with Databricks, SQL, and Python.
• Experience with data warehousing and lakehouse architectures.
• Practical knowledge of data modelling and ETL/ELT processes.
• Understanding of Git-based version control and CI/CD DevOps practices.

Nice to have

• Experience implementing or supporting MDM solutions.
• Experience with engineering, BIM, or infrastructure data environments.
• Exposure to event-driven or real-time data architectures.
• Familiarity with data governance frameworks and standards.