Lead Data Engineer

• →Proven experience designing, developing, and maintaining ETL/ELT data pipelines using modern orchestration frameworks such as Airflow, Prefect, Luigi, or Dagster.
• →Experience in dbt (Data Build Tool) for data transformation, data modelling, testing, documentation, and deployment within modern analytics ecosystems.
• →Experience working with Databricks, including data engineering workflows, and optimization of large-scale data pipelines.
• →Advanced SQL skills with hands-on experience in Microsoft SQL Server, PostgreSQL, or other enterprise RDBMS platforms, including both DDL and DML operations.
• →Demonstrated experience building and managing cloud-based data platforms, data warehouses, and Lakehouse architectures.
• →Experience leading development teams or serving as a senior technical contributor, providing architectural guidance and technical mentorship.
• →Ability to make independent architecture and design decisions while balancing scalability, maintainability, performance, and business requirements.
• →Strong understanding of data engineering best practices, including data quality, lineage, observability, governance, and performance optimization.
• →Proven track record of leveraging automation and AI-assisted development tools to improve engineering productivity, code quality, test coverage, and maintainability in a secure and controlled manner.
• →Experience with DevOps practices, including version control, automated testing, CI/CD pipelines, and infrastructure-as-code principles.
• →Excellent ability to communicate complex technical concepts and business value propositions to both technical and non-technical stakeholders.
• →Strong collaboration skills with experience working in agile teams of four or more developers, providing constructive feedback and embracing technical discussions.
• →Excellent interpersonal, presentation, stakeholder management, and problem-solving skills.
• →High attention to detail and commitment to delivering high-quality solutions.
• →Exceptional written and verbal communication skills in English.
• →Based in Europe, preferably within commuting distance of Amsterdam, Netherlands.

• →Knowledge of medical data standards such as FHIR based data exchange and/or OMOP 

• →Exposure to healthcare / life sciences / clinical trials / pharmaceutical data 

• →Master Data Management of ideally medical ontologies 

• →Data lineage 

• →Dutch language skills are a plus for local collaboration and accessing local data sources 

Opportunities 

• →You will be a part of innovation in the medical field, contributing to improved outcomes for healthcare patients and providers 

• →You will have the opportunity to be responsible for technical communication and preparation in cross-team projects. This will often mean online collaboration with international colleagues. 

• →You will collaborate with Machine Learning specialists gaining exposure to ML and Natural Language Processing (NLP) 

• →Medical data is an interesting problem space, both in complexity and in societal value. The texts are a domain of its own with extremely high information density. It gives a real kick when users let us know they were able to collect data they were unable to use previously, such as finding people with a rare disease that might take years otherwise to diagnose or rapidly building quality datasets for COVID research 

• →You will be part of a larger, cross-functional and dynamic team consisting of developers, designers, medical consultants and ML engineers. 

About us 

• →Our Data team currently consists of 1 product owner, 5 developers. 

• →The Patient Finder team consists of approximately 30 people organised across three development squads (App, Data, AI/ML), Deployment, Support and Consultancy. 

• →Patient Finder team is part of a larger healthcare product portfolio across the EMEA region within the IQVIA business. 

• →Our team largely works from home but employees are free to choose between office, home, or hybrid work locations.  Data team typically attend the office weekly.