PROJECT INFORMATION:
Industry: Pharma
Remote work: 100%
Project language: English
Business trips: Occasionally to Warsaw and Denmark (every few months)
Project length: 12 months contracts + prolongations.
Start: ASAP
Assignment type: B2B
Summary: The Lead Data Engineer plays a critical role in leading transformative data engineering initiatives to optimize data infrastructure while ensuring high-quality data management solutions across the organization.
- Work collaboratively with teams of data engineers to foster a culture of innovation.
- Execute data engineering strategies in collaboration with stakeholders.
- Define and implement best practices and standards for data engineering.
- Facilitate efficient data management by enabling data pipelines and tools.
- Ensure delivery of scalable and efficient data management solutions.
- Collaborate with cross-functional teams to address technical requirements and improve efficiency.
- Provide capabilities for achieving data quality and system performance goals.
- Promote a culture of professional growth, diversity, and inclusion in a high-performance team.
- A master’s degree in Data, Computer Science, or a related field.
- 8+ years experience in software and data engineering, including at least 4 years in Data Pipeline Engineering.
- Strong proficiency in Databricks.
- Extensive experience with Python for data manipulation and automation.
- Proficient in SQL for complex queries and data extraction.
- Hands-on with DevOps and CI/CD processes.
- Expertise in data modeling and integration.
- 4+ years experience with Cloud Technologies like Azure and AWS.
- Familiarity with life sciences regulatory requirements.
- Proven leadership and exceptional communication skills.
Nice to Have:
- Certifications in Cloud Technologies.
- Experience designing scalable data engineering solutions.
- Long-term cooperation.
- Transparently built relations based on trust and fair play.
- Co-financed benefits: Medicover card, Multisport card.