🇳🇱 North Holland, Netherlands · 12h ago
Data Engineer
Wiraa
LinkedInEnglish-friendly
About The CompanyIQVIA is a global leader in healthcare technology, clinical research, and data analytics, dedicated to advancing healthcare outcomes worldwide. With a strong commitment to innovation, integrity, and excellence, IQVIA provides a comprehensive suite of services that support the development, approval, and commercialization of medical treatments. The company harnesses the power of data, technology, and scientific expertise to deliver actionable insights to pharmaceutical, biotech, medical device, and healthcare organizations. Its extensive global footprint and diverse team of professionals enable IQVIA to serve clients across various markets, including Europe, North America, and Asia, with a focus on improving patient outcomes and population health.About The RoleWe are seeking a highly skilled Lead Data Engineer to join our dynamic team supporting the IQVIA Patient Finder product. This pivotal role involves steering the technical direction of our data pipeline and data warehouse infrastructure, ensuring the platform's robustness, scalability, and reliability. As a Lead Data Engineer, you will be responsible for designing, developing, and maintaining end-to-end data solutions that facilitate secondary use of healthcare data, linking patients to clinical trials, research studies, and quality assessments. You will collaborate closely with cross-functional teams including product managers, AI/ML specialists, and healthcare professionals to shape the data architecture, implement best practices, and drive continuous improvement. Your leadership will also extend to mentoring engineering colleagues, fostering a culture of high-quality engineering, and ensuring the delivery of scalable, maintainable solutions aligned with business goals. This role offers an exciting opportunity to influence healthcare innovation through data engineering excellence within a scale-up environment that values creativity and impact.QualificationsExtensive hands-on experience in Python development, focusing on scalable and production-grade solutionsProven expertise designing, developing, and maintaining ETL/ELT data pipelines using orchestration frameworks such as Prefect, Airflow, Luigi, or DagsterStrong experience with data transformation tools like dbt within modern analytics ecosystemsExperience working with Databricks and optimizing large-scale data pipelinesAdvanced SQL skills with practical experience in RDBMS like Microsoft SQL Server, PostgreSQL, or similarExperience building and managing cloud-based data platforms, warehouses, and Lakehouse architecturesDemonstrated leadership in guiding development teams and providing architectural guidanceKnowledge of data quality, lineage, observability, governance, and performance tuning best practicesFamiliarity with DevOps practices including version control, CI/CD pipelines, and infrastructure-as-codeExcellent communication skills to articulate complex technical concepts to diverse stakeholdersAbility to work effectively in agile teams and self-organizing environmentsBased in Europe, preferably near Amsterdam, NetherlandsResponsibilitiesLead the end-to-end design, development, and deployment of the data platform, including pipelines and data warehouses, ensuring high quality and performanceStandardize data engineering patterns to improve maintainability, reduce operational overhead, and enhance platform reliabilityDrive platform evolution through continuous improvement initiatives, including automation, testing, and documentationCoordinate with Product and Engineering teams to refine requirements, plan delivery timelines, and prioritize work based on business value and technical dependenciesImplement release strategies, validation protocols, and risk management practices to ensure seamless updates and data integrityMentor and coach data engineering team members, supporting their technical growth and professional developmentCollaborate with QA teams to increase test automation, coverage, and pipeline validationWork with AI/ML teams to integrate data components into broader product ecosystems, including search and machine learning pipelinesPromote engineering best practices, responsible AI development, and data governance standards across the teamCommunicate technical concepts effectively to stakeholders, ensuring alignment on project goals and technical solutionsBenefitsOpportunity to work on impactful healthcare projects that improve patient outcomesCollaborative and innovative work environment with a focus on professional growthFlexible working arrangements including remote, hybrid, or office-based optionsExposure to cutting-edge technologies in data engineering, AI, and healthcare data standardsParticipation in cross-functional teams including developers, medical experts, and ML engineersCompetitive compensation package and benefits tailored to regional standardsEqual OpportunityIQVIA is committed to fostering an inclusive and diverse workplace. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.