Locations

• Bulgaria
• Georgia
• Lithuania
• Mexico
• Moldova
• Poland
• Romania
• Ukraine

Company Background

Our client is revolutionizing the field of cell therapy manufacturing by developing an advanced, scalable, and cost-effective solution that improves accessibility for patients in need. With a mission-driven culture and a multidisciplinary team, they are dedicated to accelerating life-saving therapies using cutting-edge technologies and innovation.

Project Description

You will be part of the data engineering team responsible for maintaining the accuracy, reliability, and integrity of data within a cloud-based, Databricks Lakehouse platform. The focus will be on implementing automated data validation across the entire pipeline - ensuring data quality from ingestion to processing in the Bronze, Silver, and Gold layers of the Medallion architecture. This is a highly visible, cross-functional role in a fast-paced biotech environment.

Technologies

• Python, Pytest, SQL
• Databricks, Delta Lake, Lakehouse architecture
• Azure (Blob Storage, Data Services)
• Unity Catalog (data governance & lineage)

What You'll Do

• Build and maintain automated data validation tests using Databricks notebooks and Pytest
• Validate data ingestion, transformation, and loading processes across the Medallion architecture
• Test for data accuracy, completeness, consistency, timeliness, and uniqueness
• Perform data reconciliation between source systems and target tables
• Integrate automated data quality checks into the CI/CD pipeline to prevent regressions
• Monitor data freshness, schema evolution, and volume anomalies
• Collaborate with data engineers, product owners, and business stakeholders to ensure quality requirements
• Support data governance initiatives using tools like Unity Catalog (masking, sensitivity, lineage)
• Report progress and findings during daily stand-ups and agile ceremonies

Job Requirements

• 5+ years of experience in data quality engineering, data validation, or similar roles
• Strong Python skills for scripting automated data checks (Pytest preferred)
• Deep hands-on experience with Databricks and Delta Lake
• Proficiency in SQL for querying, troubleshooting, and data validation
• Solid understanding of data warehouse concepts, including dimensional modeling (star/snowflake schemas)
• Experience working with Azure data services
• Proven experience in testing strategy design and execution for data pipelines
• Ability to work independently and communicate effectively in cross-functional teams
• Bachelor's or Master’s in Computer Science, Engineering, or related field
• Strong problem-solving and analytical skills
• English level: B1+ or higher (both spoken and written)

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.