Data Quality Engineer; Cell Therapy sphere

Position: Data Quality Engineer (Cell Therapy sphere)
##### Solutions At Coherent Solutions, we offer engineering solutions that protect your time, your bottom line, and most importantly, your business.##### Our Approach We work collaboratively and transparently, providing regular updates and seeking feedback, to ensure that your needs are met, and the project is delivered successfully.# Data Quality Engineer (Cell Therapy sphere)## Locations## 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.

We're always starting new projects and we'd love to work with you. Please send your CV and we'll get in touch.
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