Introduction
As a Data Engineer at ASML, you will play a critical role in developing the data pipeline for the laser machine data and driving the technical details of the projects that would ultimately drive customer satisfaction.
Your Assignment
- Develop data pipeline solutions to contribute towards feature and roadmap.
- Demonstrate systematic problem-solving to resolve problems and standardize solutions.
- Interact with cross-functional teams to contribute to system design changes and improving system performances.
- Work towards adoption of best industry practices in code health, testing, and maintainability.
- Contribute to automated continuous data integration pipeline to build, test, and release.
- Collaborate with business users on business requirements to meet the business goals.
- Collaborate with Data Architects and IT team members on Project Goals
Education and Experience
- Must be pursuing a degree in Computer Science, Computer Engineering, Information System, or other related fields.
- Knowledge or experience using Databricks, SQL Server or other Database Technology.
- Familiar with Cloud Technologies (Azure)
- Knowledge of programming languages (Python, Java, SQL)
- Proven work as a data engineer or work on project of similar role
Skills & Competencies.
- Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism.
- Ability to complete assignments with attention to detail and high degree of accuracy.
- Proven ability to perform effectively in a demanding environment with changing workloads.
- Result driven-demonstrate ownership and accountability.
- Demonstrate open, clear, concise and professional communication.
- Ability to establish and maintain cooperative working relationships with co-workers and customer.
- Decompose complex problems and derive business requirements to propose feasible solution.
- Ability to refactor code such that legacy and new systems can co-exists.
- Great numerical and analytical skills
- Demonstrate importance of documentation
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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Request an AccommodationASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to [email protected] to initiate the company’s reasonable accommodation process.
Please note: This email address is solely intended to provide a method for applicants to initiate ASML’s process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.
Top Skills
What We Do
ASML is a high-tech company, headquartered in the Netherlands. We manufacture the complex lithography machines that chipmakers use to produce integrated circuits, or computer chips. Over 30 years, we have grown from a small startup into a multinational company with over 60 locations across Europe, Asia and the US.
Behind ASML’s innovations are engineers who think ahead. The people who work at our company include some of the most creative minds in physics, electrical engineering, mathematics, chemistry, mechatronics, optics, mechanical engineering, computer science and software engineering.
Because ASML spends more than €2 billion per year on R&D, our teams have the freedom, support and resources to experiment, test and push the boundaries of technology. They work in close-knit, multidisciplinary teams, listening to and learning from each other.

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