Work with teams of data engineers fostering a culture of collaboration, innovation and excellence
Execute the data engineering strategy in partnership with stakeholders
Define and enable the implementation of the best practices, standards, tools and services for data engineering, ensuring efficient data management
Enable the implementation of data pipelines, data platforms and tools by providing engineers automation and optimization capabilities to ensure the FAIR create data product process is efficient
Ensure the delivery of high-quality, scalable, and efficient data management solutions
Collaborate with cross-functional teams to understand and address technical requirements in addition to implementing efficiency improvements
Provide processes and capabilities to ensure achievement of the data quality and system performance measures
Work in a high-performance team that fosters a culture of professional growth while promoting diversity and inclusion.
Wymagania
A master’s degree in data, Computer Science, Information Management, or a related field
Experience of 8+ years of in the domain of software and data engineering, with relevant 4+ years in Data Pipeline Engineering and Integration. Demonstrated experience in leading complex data engineering projects is essential
Strong proficiency in Databricks and a deep understanding of its core functions and tools to optimize data workflows and analytics
Extensive experience with programming languages such as Python, especially for data manipulation, automation, and model development
Proficient in SQL for complex query development, performance tuning, and data extraction across varied databases
Hands-on experience with DevOps and CI/CD processes and tools, ensuring smooth and reliable software delivery and code deployments
Expertise in data modelling, data integration, metadata management, and data governance to establish robust and scalable data architectures
Strong experience of 4+ years with Cloud Technologies, such as Azure and AWS. Certifications are a plus
Familiarity with life sciences regulatory requirements and standards
Experience in designing scalable data engineering solutions, working closely with business, and leading virtual technical teams
Proven leadership abilities, exceptional communication skills, and adept stakeholder management to guide virtual technical teams and drive cross-functional initiatives
Oferujemy
Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort, and development,
