Data Engineer Amadora

Data Engineer
Amadora
Amadora, Lisboa, Portugal

Siemens Mobility is a separately managed company of Siemens AG. Siemens Mobility Portugal is a leading provider of innovative mobility products and solutions across the globe, enhancing the way we travel with innovations and sustainable developments. Our mission is to make mobility efficient, accessible, and comfortable, thereby contributing to a more connected and sustainable world.

About the Role:

We are seeking a skilled Data Engineer to join our global team, focusing on optimizing and automating data workflows in the cloud infrastructure. You will collaborate closely with Data Scientists and Dev
Ops Engineers to ensure smooth and reliable data operations from ingestion to deployment. Your primary responsibility will be managing and optimizing data pipelines, while maintaining performance and scalability across our
- based infrastructure.

Key Responsibilities:

• Develop and Manage Data Pipelines: Build, maintain, and optimize scalable data pipelines to ensure smooth data flow and integration across systems.
• Implement Data Streaming and Processing Solutions: Manage and optimize
  - time data streaming and processing systems to handle
  - scale,
  - latency data operations.
• API Integration: Manage APIs to facilitate integration with data systems, enabling smooth data services for internal stakeholders.
• Monitor and Automate Data Workflows: Ensure the automation and continuous monitoring of data workflows, implementing performance improvements to enhance system efficiency.

Your Qualifications – Must Have:

• Bachelor’s Degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field. Equivalent experience in Data
  Ops, Cloud Computing, or Data Engineering will also be considered.
• 3+ years of experience in Data Engineering, Dev
  Ops, or a related Data
  Ops role, with practical knowledge of
  - based data systems and workflow automation.
• Programming Skills: Strong proficiency in Python and SQL for building and optimizing data workflows.
• Containerization Knowledge: Experience with Docker for managing and deploying data services.
• Cloud Knowledge: Experience with core AWS services such as S3, Lambda, and RDS for
  - based data operations.
• Data Streaming: Strong experience with Apache Kafka for
  - time streaming and
  - latency data processing.

Nice to Have Qualifications:

• API Development: Familiarity with Fast
  API, Pydantic, or similar frameworks for building APIs.
• Kafka Connect & KSQLDB: Hands-on experience with Kafka Connect and KSQLDB for advanced streaming functionality.
• Kubernetes: Knowledge of Kubernetes for orchestrating containerized applications.
• MLOps Frameworks: Familiarity with MLFlow or Kubeflow to support machine learning model deployment and operations.
• Data Validation & Testing: Experience with tools like Great Expectations or dbt for data validation and testing.

Why Siemens Mobility?

Joining Siemens Mobility means being part of a global community that is passionate about shaping the future of transportation. We offer a competitive salary, comprehensive benefits, and opportunities for professional growth and development within an innovative and dynamic environment.

If this sounds exciting to you, then please send us your application - in English - and we will get back to you!

Getting in touch with us - straightforward and direct

If you wish to discuss any initial questions with our recruitment team, the contact person handling this job ad is Davina Difelice.

At Siemens Mobility we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications of candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.

Siemens Mobility is dedicated to quality, equality, and valuing diversity, and we encourage applications that reflect the diversity of the communities within which we work.

We look forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability to the role. #J-18808-Ljbffr