Data Engineer Mobility Services
Lausanne and home office, CH
Post CH AG
Wir bewegen die Schweiz. Mit vertrauenswürdigen physischen und digitalen Leistungen. Zu Hause, in der Freizeit und beim Arbeiten.Introduction
As a result of digitization, data is playing a pivotal role at Swiss Post. Do you want to make a significant impact on this journey with digital solutions for mobility services? Then send us your application and become part of Swiss Post’s Data & Insights team! You help us to develop and optimize innovative data solutions thanks to your commitment and passion.
How you make a difference
- As part of a DevOps team, you are responsible for developing and maintaining an AWS-based data infrastructure and pipelines.
- You design, implement and optimize Spark ETL to ensure efficient data processing and you support the gradual operationalization of machine learning models in the long term.
- You work closely with data owners and data analysts to develop and maintain robust and reliable data pipelines.
- You analyse requirements, design data products and implement them in our big data stack.
- Through process automation, you ensure trouble-free operation and continuously improve our development stack.
- In close cooperation with business stakeholders and the architecture team, you specifically align technical solutions with business needs.
What you have to offer
- For this role, you have a university degree in IT or equivalent professional experience, as well as extensive specialist knowledge in data processing with Apache Spark, SQL and Python.
- Ideally, you have experience in software development (Scala, Java) and AWS analytics services (Glue, SageMaker, Athena, Lambda, Batch).
- You are interested in CI/CD, infrastructure-as-code (Terraform) and DevOps best practices.
- You thrive in an agile work environment and have a growth-oriented mindset.
- You have a good written and spoken command of German or French and good proficiency in English.
In order to promote gender diversity, applications from female candidates are particularly welcome.
Contact
Adrian Glauser
P&T Embedded Digital Excellence 2
Telephone
+41 79 578 90 31
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Athena AWS Big Data CI/CD Data pipelines DevOps ETL Java Lambda Machine Learning ML models Pipelines Python SageMaker Scala Spark SQL Terraform
Perks/benefits: Career development
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