JOB DESCRIPTION:
About the Role
We are looking for a Data Engineer passionate about building robust and scalable data solutions. In this role, you will design and implement data architectures and pipelines that enable efficient processing, integration, and visualization to support business objectives. You will collaborate closely with technology and engineering teams to deliver high-quality, innovative solutions.
Location: Weesp, The Netherlands. This is an office based position.
Key Responsibilities
- Design and implement data pipelines for various projects and initiatives.
- Develop and maintain optimal pipeline architecture using AWS native services.
- Design and optimize data models on AWS Cloud with Databricks, Redshift, RDS, and S3.
- Integrate and assemble large, complex datasets to meet diverse business requirements.
- Perform ETL processes: read, transform, stage, and load data into selected tools and frameworks.
- Customize and manage integration tools, databases, warehouses, and analytical systems.
- Enhance internal Python libraries for pipeline development.
- Monitor and optimize data performance, uptime, and scalability.
- Create architecture and design documentation and contribute to best practices.
- Participate in technical planning, design, and peer code reviews.
- Stay current with emerging trends and recommend innovative solutions.
We are looking for
A proactive and independent Data Engineer who thrives in a global environment. You are not only technically skilled but also an excellent communicator who can build strong relationships across teams and regions. Collaboration is key in this role, so you should be comfortable working with diverse stakeholders and aligning technical solutions with business objectives. Your ability to work autonomously, adapt to change, and maintain clarity in complex situations will set you apart.
JOB FAMILY:
Engineering
DIVISION:
EPD Established Pharma
LOCATION:
Netherlands > Weesp : WHS 02
WORK SHIFT:
Standard
Why Join Us?
You’ll work with cutting-edge technologies, complex data solutions, and an international team that values innovation and collaboration. We offer a dynamic environment with opportunities for professional growth and impact.
Qualifications
Must-have: * Bachelor’s degree in Computer Science, IT, or a related field. * Minimum 3 years of experience in Data Engineering or Software Engineering. * Hands-on experience with AWS, Databricks, and/or Spark. * Strong programming skills in Python, ideally PySpark or Kafka. * Knowledge of strategies for processing large volumes of structured and unstructured data, including multi-source integration. * Experience with data cleaning, wrangling, visualization, and reporting. * Excellent communication skills and ability to work effectively in a distributed team. * Fluent in English, written and spoken.
Nice-to-have: * Experience developing Power BI reports. * Familiarity with BI applications, data quality, and performance tuning. * Ability to communicate in Dutch, German or Spanish.
