Key Skills

Job Description

About The Company IQVIA is a global leader in providing advanced healthcare solutions, including clinical research, commercial insights, and healthcare intelligence. With a strong commitment to innovation and integrity, IQVIA helps accelerate the development and commercialization of medical treatments, ultimately aiming to improve patient outcomes and population health worldwide. The company operates across the life sciences and healthcare industries, leveraging cutting-edge technology and data-driven strategies to create meaningful connections that foster medical breakthroughs. IQVIA’s diverse and talented workforce is dedicated to making a positive impact in healthcare, emphasizing a culture of curiosity, professionalism, and relentless pursuit of excellence. The organization values integrity, transparency, and inclusivity, fostering an environment where talented professionals can thrive and contribute to meaningful projects. About The Role We are seeking a highly skilled Lead Data Engineer to join our dynamic team focused on healthcare data solutions. In this role, you will be responsible for driving the technical direction of our data pipelines and data warehouse layers, ensuring the robustness, scalability, and reliability of our Patient Finder product. As a key leader, you will oversee end-to-end design and delivery of data platforms, collaborate with cross-functional teams, and mentor engineering colleagues. Your expertise will help standardize data engineering practices, optimize operational efficiency, and enhance data quality across our platforms. This is a hands-on leadership position requiring a blend of technical proficiency, strategic thinking, and team management skills. The ideal candidate will have a passion for healthcare innovation, a strong background in software and data engineering, and a desire to make a tangible impact on healthcare outcomes through data-driven solutions. Qualifications Extensive hands-on experience in Python development, focusing on scalable and maintainable solutions Proven expertise in designing, developing, and maintaining ETL/ELT data pipelines using orchestration frameworks such as Prefect, Airflow, Luigi, or Dagster Experience with dbt (Data Build Tool) for data transformation, modeling, testing, and deployment Proficiency 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, data warehouses, and Lakehouse architectures Leadership experience in guiding development teams and providing architectural guidance Strong understanding of data engineering best practices, including data quality, lineage, observability, and governance Familiarity with DevOps practices such as version control, CI/CD, and infrastructure-as-code Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders Ability to work effectively in agile environments and self-organizing teams Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field Located within Europe, preferably within commuting distance of Amsterdam, Netherlands Responsibilities Lead the end-to-end design, development, and deployment of data pipelines and data warehouse layers, primarily using Prefect, Python, and SQL Standardize data platform patterns, improve maintainability, and reduce operational overhead Ensure high data quality, lineage, and observability throughout all data processes Collaborate with Product and Engineering teams to refine requirements, shape delivery plans, and prioritize work backlogs based on business value and dependencies Implement release planning, validation strategies, and risk management protocols to ensure seamless platform updates Drive platform evolution through automation, best practices, and responsible AI-assisted engineering Partner with QA teams to enhance testing maturity, automate test coverage, and ensure pipeline reliability Coordinate with Application and AI/ML teams to integrate data components within the broader product ecosystem Manage and mentor the data engineering team, overseeing work prioritization, technical guidance, and professional development Promote engineering standards through code reviews, quality practices, and documentation Stay abreast of industry trends and emerging technologies to continuously improve data infrastructure Benefits Opportunity to contribute to innovative healthcare solutions with a meaningful societal impact Collaborative work environment with a diverse, global team of professionals Flexible working arrangements, including remote, hybrid, or office-based work Professional development opportunities through training, mentorship, and exposure to cutting-edge technologies Competitive salary and benefits package Participation in cross-functional projects involving AI/ML and healthcare data standards Work in a forward-thinking organization committed to diversity, equity, and inclusion Equal Opportunity IQVIA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status. We promote fairness and equal access throughout our recruitment, hiring, and employment processes, fostering a workplace where everyone can thrive and contribute to our mission of improving healthcare outcomes globally.

Core Responsibilities

Lead the design, development, and deployment of data pipelines and warehouse layers, improving platform standards, reliability, data quality, lineage, and observability. Guide and mentor the data engineering team, coordinate with product, engineering, QA, and AI/ML teams, and manage delivery planning, testing, releases, and platform evolution.

Requirements

Requires extensive Python and data engineering experience, including orchestration frameworks, dbt, Databricks, advanced SQL, and cloud data platforms or Lakehouse architectures. Candidates should have technical leadership experience, strong data engineering and DevOps practices, excellent communication skills, and a bachelor's or master's degree in a related field; the role is based in Europe, preferably near Amsterdam.

Benefits

• Flexible Working Arrangements
• Professional Development
• Competitive Salary And Benefits Package
• Training
• Mentorship