Data Engineer

Do you enjoy building robust data pipelines and laying the foundation for impactful AI solutions? Join ASML’s Chief Data Office (CDO) AI Services team and help shape the future of semiconductor innovation. As a Data Engineer, you’ll work at the intersection of data, AI, and cloud technologies—collaborating with global teams to deliver scalable, reliable, and high-quality data solutions.

You’ll be part of the AI platform team, responsible for developing and maintaining data pipelines that support AI use cases across ASML.

Key responsibilities include:

• Refactor and build reusable data pipelines in Databricks, following best practices and design patterns.
• Ensure pipelines are catalogued and compliant with ASML standards.
• Collaborate with data scientists, architects, developers, and business stakeholders to deliver fit-for-purpose solutions.
• Optimize pipelines for cost, performance, scalability, and reliability.
• Design and operate ELT pipelines for structured, semi-structured, and unstructured data.
• Implement rigorous testing and monitoring protocols using tools like Pytest.
• Resolve performance bottlenecks and optimize Spark-based workloads.
• Stay current with data engineering trends and apply them where relevant.
• Participate in code reviews and documentation efforts.
• Mentor junior engineers and contribute to competence development.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering or a related discipline.
• Hands-on experience with Databricks, Apache Spark, and cloud platforms (Azure required; GCP preferred).
• Proficiency in Python, PySpark, Scala, or Java.
• Solid understanding of SQL and relational databases.
• Experience with production-grade data pipelines and formats like Parquet, Delta Lake, or Iceberg.
• Familiarity with data governance standards (e.g., GDPR, ISO 27000) is a plus.

Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.

To thrive in this job, you’ll need the following Skills:

• Passion for data engineering and solving real-world problems.
• Customer-centric mindset and value-driven approach.
• Strong analytical and problem-solving capabilities.
• Excellent collaboration and communication skills.
• Knowledge of data architecture and modeling concepts.
• Familiarity with agile and scrum methodologies.
• Mentoring mindset and proactive attitude toward continuous improvement.

This role is based in Veldhoven and part of the CDO AI Services team. You’ll work closely with data scientists, architects, and software engineers to build the data foundation for ASML’s AI solutions.

For this position, the indicative (fixed) annual salary range is between 88.577 euros and 99.649 euros. This range comprises vacation allowance and a 13th-month payment. Company profit sharing is not included in this range. The actual compensation offered will depend on several factors that are unique to each candidate, including but not limited to: job-related skills, relevant Education and (work) experience, certifications, demonstrated abilities of the candidate, pay relative to other team members. This information is provided for transparency and guidance purposes only, and no rights can be derived from this salary indication.

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.

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Work Experience: 4-9 years

Travel: No

Education Level: Master

Employment Type: FULL_TIME

Team: Applications Engineering

Technical Field: