Job

In this role, you will develop robust data pipelines and ELT processes, build serverless AWS infrastructure, and collaborate closely with teams to create solutions from data requirements.

Job summary

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Job technologies

Your role in the team

  • They develop, operate, and optimize robust data pipelines and ELT processes for analytical and operational use cases.
  • They are building serverless infrastructure in AWS.
  • They model and automate cloud infrastructure with AWS CloudFormation and ensure a traceable, maintainable deployment.
  • They develop data and backend components with Python and SQL, focusing on quality, testability, and performance.
  • You are responsible for CI/CD processes with GitLab CI/CD and support a modern, automated software delivery pipeline.
  • They containerize applications with Docker and reliably deploy services in cloud and runtime environments.
  • You work closely with business units, software development, and data analytics teams to translate requirements into viable technical solutions.
  • They document architecture decisions, operational procedures, and technical interfaces in a clear and comprehensible manner.
  • You contribute ideas for the continuous improvement of our data platform, development processes, and cloud architecture.

Our expectations of you

Education

  • You hold a successfully completed degree in a technical or scientific field, a comparable qualification, or relevant practical experience in the Data Engineering environment.

Qualifications

  • You have very good AWS skills, especially in CloudFormation, Lambda, CloudWatch, SQS, SNS, DLQ, ECS, S3, and IAM.
  • You have a good understanding of modern ELT processes and can design data flows that are structured, traceable, and maintainable.
  • You communicate fluently in English and can clearly convey technical content to various stakeholders.
  • Knowledge of Java is helpful, especially for replacing and modernizing existing legacy applications.
  • Fluent German skills are desirable.

Experience

  • You bring solid practical experience with Python, SQL, Git, GitLab CI/CD, and Docker.
  • You have experience in building serverless infrastructures in AWS and understand the requirements for operations, monitoring, scalability, and security.
  • Snowflake basics, dbt, as well as experience with Kafka, Kinesis, or Firehose are advantageous.
  • Experience with Dagster, Terraform, Oracle DB, Kubernetes, Apache Iceberg, or Rust is not required but is a plus.

What we offer

  • Depending on specific qualifications and professional experience, a gross monthly salary of at least EUR 3890 is envisaged (which in any case exceeds the collective agreement minimum salary).
  • We will agree on the final salary arrangement during a personal interview.
  • As part of an internationally operating conglomerate, we offer you interesting career prospects and training opportunities with a variety of options to optimally utilize your potential.

Benefits

Work-Life-Integration

Higher take-home pay

Topics you will work on

Job locations

About your employer

Die Siemens Personaldienstleistungen GmbH (SPDL) ist ein Tochterunternehmen der Siemens AG Österreich mit Sitz in Wien. Das Unternehmen vermittelt Personal an die Siemens-Gruppe sowie an externe Kunden in ganz Österreich.

Company type
Established Company
Work model
Onsite, Hybrid, Full Remote
Industry
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Data Engineer

Siemens Personaldienstleistungen GmbH