CS Data Engineer

Introduction to the job

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. 

As part of the ASML Customer Support Central Services organization, you’ll be close to where the action is. This department is responsible for all means and methods of our global service operations, looking to improve operational efficiency through central solutions.

You will work in a business team, consisting of data engineers and data scientists to facilitate business driven development outside of the central IT organization. By stepping up our Data Opps capabilities, this team facilitates efficient data processing and Business Insight generation.

Role and responsibilities

This summer, the team will start onboarding a business developed tool, for which we plan a partial re-design and rebuild. Your task as data engineer for this project will be to deploy the relevant infrastructure in a cloud workload, and to contribute to the development of several parsers that should read in user-generated data. The business developed tool is used to support strategic decision making on the Future Ways-of-Working of Customer Support. While the current setup of the tooling serves the need of the business, it is customized and not scale-able for planned functional improvements in the future.
 

The project is expected to be finished within 1 year. After completion, there will be a possibility of continuation and conversion based on individual performance and budget availability.

Education and Experience

Master's degree or equivalent thinking and working level, solid experience and has a strong foundation in programming.

We're looking for the following experience prior to this role:

• Data modelling experience, preferably on non-business process data domains (e.g. IOT, machine data)  

• Data Operations (CI/CD), preferably with Azure DevOps

• 2+ years (hands-on) experience with Kubernetes/deploying containerized solutions with OSS tooling

• Python 4+ years, pre if you know other languages as well

• Dominant Python libraries:  Polars Python API (if not, ability to pick up very quickly), Delta-RS Python API, PyTest, Patito - Pydantic, PySpark, Streamlit

• Experience with Dagster, LakeFS and/or Rust is a plus

• Experience with ASML-Labs OSS packages dagster-uc and dagster-delta is a plus

• Hands on Experience with cloud native service Azure Synapse (Spark Pools), Databricks.

• SQL (T-SQL or other dialect): SQL background, understanding the concepts of OLAP/BI querying patterns, and has paratactical knowledge in creating these solutions to support this. 

• 2+ years (hands-on) experience with columnar storage formats, particularly Apache Arrow, and backends (Parquet, Delta lake) 

• 2+ years (hands-on) experience with big data (hybrid) cloud concepts and implementations  

• Experience with GIT

Skills

• Conceptual thinker: has the ability to think ahead and share the lessons learnt with both technology and business stakeholders. 

• Stakeholder management

Other information

Please apply with a motivation and CV for this position.

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.

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