Join us as key enabler for digitalization for Engineering and Manufacturing at ME.
As a Data engineer you will:
- drive the design and implementation of application data models.
- implement data that satisfy the needs of the ME ECU business requirements.
- work with different types of data data sources infrastructure existing building blocks (e.g. APIs micro services) in our ECU Engineering data platform.
- create and operate automated pipelines for data extraction transformation and integration.
- implement strategies to ensure defined data quality standards and data linage.
- be responsible for developing automated integration and orchestration of data architectures and pipelines for manufacturing and engineering solutions and AI model deployment.
Qualifications :
- University studies (masters degree or PhD) in Computer Science Statistics Physics or a comparable subject.
- Proven knowledge and experience in developing cloud-based solutions.
- Several years of experience in software development with a focus on data pipelines.
- Strong programming skills in Python Scala or Java.
- Proficiency with data-lake providers (Azure Databricks preferred).
- Experience with containerization technologies and orchestration tools (GitHub Actions CI/CD pipelines).
- Familiar with streaming solutions (e.g. Apache Kafka and Flink).
- Knowledge of data management concepts pipeline deployment and data provisioning.
Additional Information :
# LikeABosch Benefits:
Your work-life balance is valuable to us so we offer you:
- 25 Days of annual leave because work-life balance is essential to us;
- Flexible working hours and if you want to work from somewhere else than the office our Home Office program helps you do that 70% of your working time/month.
Your health and well-being is important to us so we have you covered:
- Medical subscription;
- Accident insurance;
- Sport activities and well-being initiatives.
We believe in a Life-Long Learning approach so you can take advantage of:
- Technical and soft skills trainings;
- Access to e-learning platforms;
- Local and Global career development programs;
- Opportunity to attend conferences;
- Bookster subscription.
You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.
On top of these we are offering:
- A monthly budget which can be used for several different services on an online benefit platform;
- Annual bonus;
- Lunch discounts.
Ready to work # LikeABosch
We live by our values have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.
Remote Work :
No
Employment Type :
Full-time
Join us as key enabler for digitalization for Engineering and Manufacturing at ME.As a Data engineer you will:drive the design and implementation of application data models.implement data that satisfy the needs of the ME ECU business requirements.work with different types of data data sources infras...
Join us as key enabler for digitalization for Engineering and Manufacturing at ME.
As a Data engineer you will:
- drive the design and implementation of application data models.
- implement data that satisfy the needs of the ME ECU business requirements.
- work with different types of data data sources infrastructure existing building blocks (e.g. APIs micro services) in our ECU Engineering data platform.
- create and operate automated pipelines for data extraction transformation and integration.
- implement strategies to ensure defined data quality standards and data linage.
- be responsible for developing automated integration and orchestration of data architectures and pipelines for manufacturing and engineering solutions and AI model deployment.
Qualifications :
- University studies (masters degree or PhD) in Computer Science Statistics Physics or a comparable subject.
- Proven knowledge and experience in developing cloud-based solutions.
- Several years of experience in software development with a focus on data pipelines.
- Strong programming skills in Python Scala or Java.
- Proficiency with data-lake providers (Azure Databricks preferred).
- Experience with containerization technologies and orchestration tools (GitHub Actions CI/CD pipelines).
- Familiar with streaming solutions (e.g. Apache Kafka and Flink).
- Knowledge of data management concepts pipeline deployment and data provisioning.
Additional Information :
# LikeABosch Benefits:
Your work-life balance is valuable to us so we offer you:
- 25 Days of annual leave because work-life balance is essential to us;
- Flexible working hours and if you want to work from somewhere else than the office our Home Office program helps you do that 70% of your working time/month.
Your health and well-being is important to us so we have you covered:
- Medical subscription;
- Accident insurance;
- Sport activities and well-being initiatives.
We believe in a Life-Long Learning approach so you can take advantage of:
- Technical and soft skills trainings;
- Access to e-learning platforms;
- Local and Global career development programs;
- Opportunity to attend conferences;
- Bookster subscription.
You will be part of a product company. You will contribute to developing end-to-end products that are delivered to Global OEMs.
On top of these we are offering:
- A monthly budget which can be used for several different services on an online benefit platform;
- Annual bonus;
- Lunch discounts.
Ready to work # LikeABosch
We live by our values have an open feedback culture and there is plenty of room for innovative ideas. All because a team is only as valuable as its members.
Remote Work :
No
Employment Type :
Full-time
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