Data Engineer Job in Veldhoven, Netherlands

ASML is one of the world’s leading manufacturers of chip-making equipment.

Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.

ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.

Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.

As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.

But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.

So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.

Data Engineer Job Description

Introduction
ASML is one of the world’s leading manufacturers of semiconductor-chip-making equipment. A majority of the world’s microchipsreceive their critical lithographic patterning in machines made by ASML. In addition ASML produces metrology tools and advanced applications to analyze and optimize the performance of the customer production process. At Business Line Applications, we develop Analytics & Control solutions that improve the accuracy of performance metrics (such as overlay, focus, critical dimension) as measured on the end product of a fab process (wafers with chip structures).
Job Description
ASML is looking for an experienced Data Engineer to join our Analytics & Visualization team. We are interested in engineers with strong knowledge and experience in building Data Intensive Applications (DIA’s) in an industrial/enterprise environment. You are expected to handle data from various data sources and determine how to best structure the data in order to provide data in a ready-to-use form to data analysts that are looking to run queries and algorithms against the information for predictive & prescriptive analytics through machine learning. You will design and implement robust scalable data pipelines on the ecosystems existing in ASML and at our customers. You are expected to write high quality, maintainable, and robust code, and provide solutions for ensuring long-term quality and integrity of the data.

 
The vacancy aims at supporting the development of novel data analytics, visualizations and control solutions by cutting edge techniques from Machine Learning and Data Mining. Successful methodologies aim to be included in ASML customer applications.

 
Will you be our next talented data engineer to join the team responsible for creating applications that aids our customers to keep the machines in their Semiconductor Fabs optimally running during chip production. This could be your next ultimate job, so if you would like to join us - please apply!
 
Responsibilities

 - Design and implement Data Intensive Application’s, realizing the product backlog defined by  the Product Owner
 - Ensure quality of own deliverables, this includes designing and implementing automated tests (a.o. on unit- and integration levels)
 - Cooperatewith other teams to ensure consistent implementation of the architecture, agree on interfaces and timing of cross-team deliveries
 - Troubleshoot, analyze and solve integration issues, both from internal alpha and beta tests, as well as reported by our customers
 - Write or update product documentation in accordance with company processes
 - Suggest improvements to our technical solutions and way of working, and implement them in alignment with your team and their stakeholders


Education
M.Sc. or Ph.D. in Data Science, Computer Science, Electrical Engineering, Mathematics or Physics 


Experience
 - Experience in having build DIA’s in an industrial/enterprise environment
 - Experienced in software development (strong coding and testing skills)
 - IT related knowledge is considered a plus
 - Familiar languages including Python, Java, etc.
 - Familiarity with relational and non-relational (documen, columnar, graph) database architectures
 - Experience with frameworks from the big data ecosystem’s (Spark, Kafka, HBase, etc)
 - Experience with orchestration & containerization is a plus (Kubernetes, Docker, Mesos DC/OS)
 - Strong ability to communicate and negotiate designs of data pipelines with Data Architects and Data Scientists


Highly valued qualifications & experiences

 - Experience in working on practical applications using real-world datasets
 - Hands-on with different data formats (CSV, XML, ARVO, TXT, JSON, etc.)
 - Familiarity with statistical languages like R and/or Matlab
 - Handling, analyzing, and visualizing complex, high-volume, high-dimensional data from varying sources 


Personal skills
  - Enthusiastic and intrinsically motivated, creative thinker
 - Good & proactive communication in an international and multidisciplinary environment
 - Taking responsibility, self-propelling
 - Goal-oriented and flexible mindset, willing to acquire lithography and other semiconductor manufacturing knowledge


Context of the position
Our multinational teams are composed of five to seven developers, a Scrum Master and a Product Owner. We are committed to follow the Agile way of working, with sprints and demos every two weeks, aiming for frequent releases of working software. In all teams we cooperate with internal and external experts from different knowledge domains to discover and build the best solutions possible. We use Continuous Integration with GIT, Jira and Bamboo. We move fast to help our customers reach their goals, and we strive to create reliable and well-tested DIA’s, as a failure in our software stack can severely impact customers' operations.


Other information
Organizational Position
You will be a member of the Analytics and Visualization group in Development & Engineering of the Business Line Applications (Wafer Fab Applications department) where you will interact with architects, software developers, data analysts and dashboard developers. Here you will also be part of a multidisciplinary product development team, interacting with other departments (e.g. functional teams and customer support). Travelling a few times per year to ASML local sites and to customers worldwide is part of the job.

Data Engineer Job Requirements

- M.Sc. or Ph.D. in Data Science, Computer Science, Electrical Engineering, Mathematics or Physics
- Experience in having build DIA’s in an industrial/enterprise environment
- Enthusiastic and intrinsically motivated, creative thinker
Our multinational teams are composed of five to seven developers, a Scrum Master and a Product Owner. We are committed to follow the Agile way of working, with sprints and demos every two weeks, aiming for frequent releases of working software. In all teams we cooperate with internal and external experts from different knowledge domains to discover and build the best solutions possible. We use Continuous Integration with GIT, Jira and Bamboo. We move fast to help our customers reach their goals, and we strive to create reliable and well-tested DIA’s, as a failure in our software stack can severely impact customers' operations.
 

Data Engineer Application Information

Organizational Position

You will be a member of the Analytics and Visualization group in Development & Engineering of the Business Line Applications (Wafer Fab Applications department) where you will interact with architects, software developers, data analysts and dashboard developers. Here you will also be part of a multidisciplinary product development team, interacting with other departments (e.g. functional teams and customer support). Travelling a few times per year to ASML local sites and to customers worldwide is part of the job.

Data Engineer Summary

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