Senior Data Engineer

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

Do you enjoy working across units, combining creative and analytical thinking, and are you keen to actively shape digital transformation? If so, then you’re just the person we’re after! You help us to harness the full potential of data and AI for more efficiency, innovation and impact. A friendly environment awaits you here at Swiss Post, where teamwork, diversity and new ideas are valued and promoted.



How you make a difference

  • You develop, implement and optimize data catalogue solutions with SPARQL, Java or Python.
  • Using powerful data collection solutions in Java, you tap into a variety of data sources efficiently.
  • You manage and expand meta data in the data catalogue and ensure it remains high quality and consistent.
  •  By implementing data governance guidelines, you make sure the relevant standards are observed.
  • In close cooperation with interdisciplinary teams, you spearhead the introduction of linked data principles.
  • Your work helps improve data traceability thanks to sophisticated semantic modelling and structuring.
  • You identify potential vulnerabilities in the data processes early on and proactively go about fixing them.

 

 

What you have to offer

  • You have a degree in IT or comparable professional experience.
  • You have solid expertise in the whole ETL process, from semantic modelling and transformation to migration into the triplestore.
  • You feel just as confident using Java and Python as you do writing efficient SPARQL queries for productive use.
  • Ideally, you have experience with common cloud platforms (especially AWS) and rational database systems such as Oracle, SQL Server and SAP HANA.
  • You are able to use your strong communication skills to explain complex technical content clearly to non-specialist stakeholders, and your analytical skills enable you to make entrepreneurial decisions.
  • You are a meticulous worker with a keen eye for detail who is able to guarantee high data quality and consistent meta data.
  • You have a good spoken and written command of English and German or French.

Contact

Anne Rensch 
People & Transformation Lead - Logistics Services 

Phone

+41772679069 

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

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Category: Engineering Jobs

Tags: AWS Data governance Data quality ETL Java Oracle Python SQL

Region: Europe
Country: Switzerland

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