Data Engineer

Abbott; Weesp; On-site; EUR 70,000 - 90,000; Full time

Job summary

Abbott is seeking a Data Engineer in Weesp, The Netherlands, to design and implement robust data pipelines and architectures. You will work with AWS native services, Databricks, and BI tools to enable visualization and insights.

The role requires collaboration with technology teams and a focus on scalable data solutions. The ideal candidate has 3+ years in data or software engineering, strong Python skills (PySpark/Kafka preferred), and fluent English.

Qualifications

• Bachelor's degree in CS/IT or related field.
• Min 3 years in Data Engineering or Software Engineering.
• Hands-on with AWS, Databricks and Spark.

Responsibilities

• Design and implement data pipelines for various projects.
• Develop and maintain pipeline architecture using AWS services.
• Design and optimize data models on AWS with Databricks/Redshift/RDS/S3.
• Integrate large datasets to meet business requirements.
• Perform ETL: read, transform, load data.
• Manage integration tools, databases, warehouses, and analytics systems.
• Enhance internal Python libraries for pipeline development.
• Monitor and optimize data performance, uptime, and scalability.
• Create architecture and design documentation; contribute to best practices.
• Participate in technical planning, design, and peer code reviews.
• Stay current with trends and propose innovations.

Skills

AWS

Databricks

Spark

Python

Data integration

Data cleaning

Data visualization

Power BI

Communication

Education

Bachelor's degree in Computer Science/ IT

Tools

Power BI

SQL

AWS services

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.

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.
• Experience developing Power BI reports.
• Excellent communication skills and ability to work effectively in a distributed team.
• Fluent in English, written and spoken.

Nice to have

• Familiarity with BI applications, data quality, and performance tuning.
• Exposure to pharmaceutical manufacturing operations, with an understanding of GMP regulations, validation processes, and quality‑driven production environments.
• Understanding of industrial manufacturing processes and systems, including process flows, piping and instrumentation concepts, and temperature‑controlled production environments.
• Ability to communicate in Dutch, German or Spanish.

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.

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.

Ready to make an impact?

Apply today and help us drive data‑driven decision‑making! Make sure to include your CV and cover letter.