Senior Data Engineer - GERMAN Speaker
Swiss Post.com
Office
Swiss Post
Full Time
At Swiss Post, data plays a central role in our digital transformation journey. Our Data & Insights team is driving innovative, data-powered solutions that shape the future of mobility. We are looking for a committed and forward-thinking Data Engineer who is passionate about developing and optimizing modern data solutions – and who can collaborate fluently German.
What You Can Do:
− Develop and maintain an AWS-based data infrastructure and pipelines within a DevOps team
− Design, implement, and optimize Spark ETL processes to ensure efficient data processing and long-term operationalization of machine learning models
− Collaborate with data owners and analysts to build robust, reliable data pipelines
− Translate requirements into high-quality data products within our big data stack
− Drive automation and continuous improvement of our development stack
− Work closely with business stakeholders and architects, tailoring technical solutions to specific business needs
What You Bring:
− Strong expertise in Apache Spark, SQL, and Python
− Ideally, knowledge of Scala or Java and AWS analytics services (Glue, SageMaker, Athena, Lambda, Batch)
− Interest in CI/CD, Infrastructure-as-Code (Terraform), and DevOps practices
− An agile mindset, strong problem-solving skills, and a passion for continuous learning
− You are a committed, initiative personality
− You have experience collaborating with cross-functional teams
− You have excellent communication skills, with the ability to act as a technical translator for non-technical stakeholders
Education
− Bachelor’s degree or equivalent in Computer Science, Information Systems, or a related field.
Language skills
− Excellent oral and written German and English skills are required for the position (both mandatory).
− Willingness to travel
− Hybrid Model: One day a week @office (mandatory)Just by joining us you will get benefits like:
What You Can Do:
− Develop and maintain an AWS-based data infrastructure and pipelines within a DevOps team
− Design, implement, and optimize Spark ETL processes to ensure efficient data processing and long-term operationalization of machine learning models
− Collaborate with data owners and analysts to build robust, reliable data pipelines
− Translate requirements into high-quality data products within our big data stack
− Drive automation and continuous improvement of our development stack
− Work closely with business stakeholders and architects, tailoring technical solutions to specific business needs
What You Bring:
− Strong expertise in Apache Spark, SQL, and Python
− Ideally, knowledge of Scala or Java and AWS analytics services (Glue, SageMaker, Athena, Lambda, Batch)
− Interest in CI/CD, Infrastructure-as-Code (Terraform), and DevOps practices
− An agile mindset, strong problem-solving skills, and a passion for continuous learning
− You are a committed, initiative personality
− You have experience collaborating with cross-functional teams
− You have excellent communication skills, with the ability to act as a technical translator for non-technical stakeholders
Education
− Bachelor’s degree or equivalent in Computer Science, Information Systems, or a related field.
Language skills
− Excellent oral and written German and English skills are required for the position (both mandatory).
− Willingness to travel
− Hybrid Model: One day a week @office (mandatory)Just by joining us you will get benefits like:
- Open minded company where every employee has to contribute to the development of the company - ideas are welcome as well as independent thinking to
- 25 annual days of vacations
- Flexible working hours
- Annual allowance for Benefits (Training, Gym, Public Transportation, Technologies, etc...)
- An amazing onboarding week at Switzerland
- iPhone
- Second Screen to work at home (Flat or a Curved one)
- First month Tech Allowance to buy your headset or, if you already have one, whatever you need to work comfortably
- Health insurance for you and your family
- Life insurance
- Office Perks (coffee, fruit, stand up desks. etc...)
- So much more...
Senior Data Engineer - GERMAN Speaker
Office
Swiss Post
Full Time
September 30, 2025