Senior Big Data Engineer

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. The Systems Engineering team is part of the Global Infrastructure & Operations organisation and focuses on processing and analysing patient-level healthcare data to solve complex healthcare challenges.

• Bachelor's Degree in Information Technology, Software Engineering, Computer Science, Mathematics, or related field.
• 6+ years of experience with SQL, Python, and Scala.
• 6+ years of experience in data engineering.
• Strong understanding of Databricks platform.
• Experience with Big Data batch processing and Azure Cloud Services.
• Practical knowledge of Apache Spark ecosystem, including Delta and Parquet data formats.
• Experience with complex ETL design and implementation.
• Experience with data analysis, profiling, integration, quality, warehousing, and reporting.
• Experience with CI/CD automation tools such as Jenkins or GitLab.

Nice to have:

• Familiarity with AI-powered productivity tools like Copilot or Cursor.
• Experience working in an Agile environment.
• Experience with database design and modelling.
• Previous experience with healthcare or pharmaceutical data.
• Knowledge of algorithms and design patterns.
• Experience processing large data volumes (terabytes).

• Oversee and guide junior and mid-level engineers, providing technical direction and mentoring.
• Delegate tasks effectively, ensuring clarity and alignment with delivery goals.
• Own delivery of assigned workstreams, ensuring quality and timeliness.
• Build pipelines for processing large volumes of medical data.
• Participate in analysis, system design, development, deployment, and maintenance.
• Conduct peer code reviews.
• Contribute to the definition and adoption of technical standards.
• Create comprehensive automated unit and integration tests.

IQVIA maintains a zero tolerance policy for candidate fraud. All information and credentials submitted must be truthful and complete. False statements or omissions may result in disqualification or termination of employment according to applicable law.