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Senior Data Engineer (BI)

  • Location

    Zürich, Switzerland

  • Sector:

    Data Engineering

  • Job type:


  • Salary:

    Swiss Franc90 - Swiss Franc95.00 per hour

  • Contact:

    Thomas ONeill

  • Email:


  • Job ref:

    JN -112021-90077_1641807166

  • Published:

    9 days ago

  • Duration:

    6 Months +

  • Startdate:


Senior Data Engineer / Developer - Zurich - 6+ Month Contract

Background: (My client) a leading Telecommunications organisation in Zurich are searching for a Senior Data Engineer.

General Information:

  • Duration: 6 month contract
  • Start date: December / January
  • Extension: possible, approval needed
  • Remote/Home Office: 50/50
  • Workplace: Zürich
  • Workload: 100%

Tasks & Responsibilities:

  • Manage BI Data assets during the integration of two companies with two databases
  • Monitor, maintain and help to decommission/renovate data assets
  • Supporting processes used for AI/ML domain (training statistical models) and supporting campaign activities
  • Design and development of new data assets
  • Oversight of third party deliveries
  • Ensure smooth transition to internal employees starting

Must Haves:

  • 5+ years of experience building and maintaining complex data assets used in BI organization
  • Excellent SQL skills are necessary (data assets to be maintained are on Oracle database, know-how of Teradata is a plus)
  • Excellent skills and know how in data management domain
  • Candidate needs to be able to comfortably navigate complex SQL logic and database processes under little guidance; be able to infer and manage object dependencies; be able to summarize and explain findings to non-technical audience
  • Fluent in English, German is a big plus
  • Experience in monitoring and managing quality of data assets
  • Position requires a person to be working from Switzerland (to ensure required data access can be granted)

Nice to haves:

  • Proactive attitude and friendliness is a big plus
  • Experience in building/maintaining modelling pipelines to support machine learning engines
  • Good knowledge of best practices in data architecture and data engineering
  • Knowledge of Microsoft Azure, GCP (Google cloud platform), Hadoop is a plus
  • Professional experience in telecommunication domain
  • Experience in BI organization e.g. working as a data analyst

Interested? Please send your CV and I will contact you to book a meeting.


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