Data Engineer (m/f/d)

  • Flexsis
  • 6343 Rotkreuz, ZG, Switzerland
  • 06/02/2024
Full time Data Engineering Business Intelligence Software Engineering Data Warehouse

Job Description

INTRODUCTION:
As a preferred supplier for Roche Diagnostics in Rotkreuz, we are looking for a motivated
Data Engineer (m/f/d)
The contract has a planned duration of one year, with possible extension.The earliest start date as soon as possible and the latest in April 2024. Home Office: first two months 100% on site, afterwards can be discussed.
ASSIGNMENT DESCRIPTION:
  • Understand product requirements and translate them into modeling tasks and engineering tasks.
  • Build robust and automated pipelines to ingest and process structured and unstructured data from source systems into data analysis platforms, this will involve batch and streaming techniques as well as cloud-native toolsets.
  • Leverage big data technologies and cloud services to perform parallel processing on large sets of data.
  • Apply automation to make the most of our data platform's computation and storage resources.
REQUIRED PROFILE:
Must Haves:
  • Min. Bachelor degree in Computer Science, Software engineering, or related degree
  • Min. 2 years of experience as a data engineer, preferably in a project environment
  • Hands-on Python programming experience
  • Experience of Cloud Data Platforms (AWS, Snowflake)
  • Experience with SQL development
  • Fluency in English (spoken and written), German is a plus
  • Great problem solving and communication skills
  • Familiarity with git-based workflow
  • Able to prepare and create clear documentation and communicate and adapt the processes
  • Ability to interpret and translate/explain technical requirements into tasks
  • Familiarity with data visualisation tools and libraries (e.g., Tableau, Rshiny, Matplotlib)
Nice to Have:
  • Interest in PCR Systems
  • Interest in Machine Learning
  • Experience with Terraform or others Infrastructure as Code systems
  • Experience with CI/CD pipelines
  • Experience working in an agile development environment as part of a sprint team
  • Interest in systems reliability engineering
  • Experience with dbt and data quality frameworks
Application process
Interested? You can find more information here: