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.

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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 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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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

Region: Europe
Country: Switzerland

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