Key Skills

Job Description

About The Company IQVIA is a global leader in healthcare intelligence, clinical research services, and commercial insights dedicated to improving patient outcomes and population health worldwide. With a strong commitment to innovation and integrity, IQVIA leverages cutting-edge technology and data-driven solutions to accelerate the development and commercialization of medical treatments. The company operates across multiple regions, including Europe, and offers a dynamic and collaborative work environment. Its portfolio includes a variety of healthcare products and services, with a focus on making meaningful impacts in the medical and life sciences sectors. IQVIA values diversity, professionalism, and a relentless pursuit of excellence, fostering a culture that encourages continuous learning and innovation. About The Role We are seeking a highly skilled Lead Data Engineer to join our team in Amsterdam, Netherlands, or nearby locations. In this role, you will be responsible for driving the technical direction of our data pipeline and data warehouse layers, ensuring product robustness, scalability, and reliability. You will lead end-to-end design and implementation of data platforms, utilizing modern orchestration frameworks such as Prefect, Python, and SQL. Your expertise will help standardize patterns, reduce operational overhead, and enhance maintainability across our data landscape. As a key leader, you will mentor and coach data engineering colleagues, support ongoing professional development, and collaborate closely with cross-functional teams including product managers, AI/ML specialists, and healthcare stakeholders. Your work will directly impact the effectiveness of our Patient Finder product, used daily by hospitals to facilitate secondary use of healthcare data, linking patients to clinical trials, research studies, and quality assessments while strictly adhering to privacy regulations. Qualifications Extensive hands-on experience in Python development for scalable and production-grade solutions Proven expertise in designing, developing, and maintaining ETL/ELT data pipelines using frameworks such as Airflow, Prefect, Luigi, or Dagster Experience with dbt (Data Build Tool) for data transformation, modeling, testing, and deployment Familiarity with Databricks and large-scale data pipeline optimization Advanced SQL skills with experience in Microsoft SQL Server, PostgreSQL, or similar RDBMS platforms Experience building and managing cloud-based data platforms, warehouses, and Lakehouse architectures Demonstrated leadership in development teams, providing architectural guidance and mentorship Strong understanding of data engineering best practices including data quality, lineage, observability, and governance Knowledge of DevOps practices, CI/CD pipelines, version control, and infrastructure-as-code Excellent communication skills in English, with the ability to articulate complex technical concepts to diverse audiences Based in Europe, preferably within commuting distance of Amsterdam, Netherlands Responsibilities Lead the end-to-end design, development, and delivery of the data platform, including pipelines and data warehouse layers Drive platform evolution by standardizing patterns, reducing operational overhead, and enhancing maintainability and reliability Ensure data quality and continuity during system changes through effective release planning, validation, and risk management Collaborate with Product and Engineering teams to refine requirements, shape delivery plans, and prioritize work based on value and dependencies Establish and uphold engineering standards through code reviews, quality practices, and responsible AI-assisted engineering Partner with QA teams to improve testing maturity, coverage, and automation for pipelines and data transformations Work with AI/ML teams to integrate data components within the broader product ecosystem, including search and machine learning pipelines Lead and mentor the data engineering team, managing work intake, prioritization, and professional development Identify areas for improvement within data pipelines and implement best practices to optimize performance and reliability Benefits Opportunity to contribute to innovative healthcare solutions that have a meaningful societal impact Collaborative environment with cross-functional teams including developers, designers, medical consultants, and ML engineers Flexible work arrangements, including options for remote, hybrid, or on-site work Exposure to cutting-edge technologies and methodologies in healthcare data and AI/ML applications Professional growth through mentorship, training, and involvement in impactful projects Participation in a global organization committed to integrity, diversity, and inclusion Equal Opportunity IQVIA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, sexual orientation, age, disability, or any other protected status. All qualified applicants will receive consideration for employment without regard to any protected characteristic. We encourage individuals from diverse backgrounds to apply and join our team in making a difference in healthcare worldwide.

Core Responsibilities

Lead the design, development, and delivery of the data platform, including pipelines and warehouse layers, while improving reliability, maintainability, data quality, and operational efficiency. Guide and mentor the data engineering team, establish engineering and testing standards, and collaborate with product, QA, and AI/ML teams to support the Patient Finder product.

Requirements

Requires extensive production-grade Python experience, strong SQL skills, and expertise building and maintaining ETL/ELT pipelines with orchestration frameworks and dbt. Candidates should also have cloud data platform and Lakehouse experience, leadership and mentoring capabilities, knowledge of data governance and DevOps practices, and strong English communication skills; Europe-based candidates near Amsterdam are preferred.

Benefits

• Flexible Work Arrangements
• Professional Growth
• Training
• Mentorship