Data Plat­form Engi­neer (Zürich)

Vollzeit @SCI­GI­LI­TY veröffentlicht 10 Stunden ago

Job-Beschreibung

Sala­ry: CHF 120’000 — 150’000 per year

Requi­re­ments:

  • You have a uni­ver­si­ty degree in com­pu­ter sci­ence or com­pa­ra­ble expe­ri­ence.
  • You have a valid Swiss working per­mit.
  • At least 5 years of hands-on expe­ri­ence with dis­tri­bu­ted sys­tems like Apa­che Kaf­ka, Spark, Flink or Tri­no.
  • At least 5 years of expe­ri­ence working with Data Warehou­ses or disi­trbu­ted sto­rage sys­tems like S3 Object Stores, Apa­che HDFS or Hive.
  • Strong exper­ti­se of IaC prin­ci­ples, and with working know­ledge of Ansi­ble, Pup­pet or Helm.
  • Hands-on expe­ri­ence with Con­tai­ner plat­forms as Open­S­hift or Kuber­netes.
  • Solid expe­ri­ence of Linux admi­nis­tra­ti­on, espe­ci­al­ly on-prem sys­tems.
  • Pro­ven expe­ri­ence as a DevOps Engi­neer, with strong skills in buil­ding and mana­ging infra­struc­tu­re.
  • Flu­ent in Ger­man or French. Eng­lish pro­fi­ci­en­cy.
  • Wil­ling­ness to work 2–3 days per week in the Zürich office.

Respon­si­bi­li­ties:

  • You design, build, ope­ra­te, and main­tain modern data ana­ly­tics plat­forms.
  • You auto­ma­te plat­form life­cy­cles accor­ding to Infra­struc­tu­re as Code (IaC) prin­ci­ples.
  • You con­tri­bu­te to data engi­nee­ring deve­lo­p­ment acti­vi­ties.
  • You are also respon­si­ble for che­cking, audi­ting, and trou­ble­shoo­ting exis­ting solu­ti­ons and sys­tem archi­tec­tures.
  • You get invol­ved in Sci­gi­li­ty intern­al­ly, e.g.:
  • Help shape our tech­no­lo­gy stra­tegy
  • Par­ti­ci­pa­te in pre-sales acti­vi­ties
  • Be a men­tor for new-joi­n­ers

Tech­no­lo­gies:

  • AI
  • Ansi­ble
  • DevOps
  • Flink
  • Helm
  • Hive
  • Sup­port
  • Kaf­ka
  • Kuber­netes
  • Linux
  • Open­S­hift
  • Pup­pet
  • Spark

More:

At Sci­gi­li­ty, aca­de­mic and prac­ti­cal know-how come tog­e­ther to crea­te a uni­que data & AI ser­vice offe­ring — for diver­se and cross-indus­try cus­to­mers in Switz­er­land. We defi­ne, build, and ope­ra­te inte­gra­ted holi­stic Data & AI plat­forms, deve­lop appli­ca­ti­ons to gain new insights into data and offer sup­port within the legal frame­work.

Through clo­se coope­ra­ti­on with uni­ver­si­ties and tech­no­lo­gy pro­vi­ders, the SME always stays up to date with the latest inno­va­tions. But the true heart of Sci­gi­li­ty is a uni­que team of high­ly moti­va­ted engi­neers with diver­se back­grounds, uni­que per­so­na­li­ties, and a shared pas­si­on for data. We pur­sue this mis­si­on in an envi­ron­ment with flat hier­ar­chies and agi­le working methods, which requi­res a maxi­mum of self-orga­niza­ti­on and self-respon­si­bi­li­ty.

Over­all, we form a strong team that sup­ports and lis­tens to each other. Your col­le­agues are just a chat mes­sa­ge away from you — becau­se working from home has beco­me an inte­gral part of our mul­ti­cul­tu­ral team.

Your path to us:
- Appli­ca­ti­on sub­mis­si­on
- Check the docu­ments and speak to a recrui­ter
- Tech­ni­cal chall­enge
- Con­tract offer
- Wel­co­me to the team

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