Senior Data Engineer

The Position

As a Senior Data Engineer, you will play a key role in designing, developing, and main-taining data pipelines and integration solutions to support analytics, Artificial Intelligence workflows, and business intelligence.

It includes:

1. Design, implement, and maintain scalable data pipelines and integration solutions aligned with the overall data architecture and strategy.
2. Implement data transformation workflows using modern ETL/ELT approaches while establishing best practices for data engineering, including testing methodologies and documentation.
3. Optimize data workflows by harmonizing and securely transferring data across systems, while collaborating with stakeholders to deliver high-performance solutions for analytics and Artificial Intelligence.
4. Monitoring and maintaining data systems to ensure their reliability.
5. Support data governance by ensuring data quality and consistency, while contributing to architectural decisions shaping the data platform's future.
6. Mentoring junior engineers and fostering a culture of engineering excellence.

Qualifications

1. Bachelor’s or master’s degree in computer science, Software Development, Engineering.
2. Possess over 10 years of overall professional experience, including more than 4 years of specialized expertise in data engineering.
3. Experience in developing production-grade data pipelines using Python, Data-bricks and Azure cloud, with a strong foundation in software engineering principles.
4. Experience in the clinical data domain, with knowledge of standards such as CDISC SDTM and ADaM (Good to have).
5. Experience working in a regulated industry (Good to have).