Redpill Linpro er ledende spesialister innen open source og brenner for åpne løsninger, åpne forretningsmodeller og et åpent samfunn. Vi jobber sammen for å oppnå maksimal nytte for alle. Vi huser noen av markedets fremste eksperter på sine fagområder. Vi er rundt 300 ansatte og du finner oss i tre land fordelt på seks kontorer: Stockholm, Göteborg, Karlstad, Linköping samt i København og Oslo.
Ønsker du å være med på å bygge opp noe fra bunnen i et av Nordens mest spennende tekniske miljøer?
Redpill Linpro er et selskap med rot i Open Source og jobber med de siste teknologiske løsningene innen våre kjerneområder AWS, DevOps, integrasjon, utvikling og analytics. Hos oss finnes noen av Nordens tyngste eksperter innen områder som Linux, Kubernetes/OpenShift, API management og databaser.
Vi ser nå etter Data Engineers som ønsker å være med på å ta steget videre for vår data analytics satsning. Vi har i de siste årene fokusert mye på arkitektur og infrastruktur rundt området, særlig MLOps - DevOps for maskinlæring. Dette er en ny satsning, og du vil være en viktig støttespiller i teamet for å utvikle selskapet videre. Vi håper at det bor en liten gründersjel i deg og at du har lyst til å være med å bygge opp Data Analytics i Redpill Linpro.
Hvorfor velge Redpill Linpro?
Hos oss vil du få jobbe med noen av de dyktigste IT-talentene i en organisasjon som brenner for profesjonelle Open Source-idealer. Vi er alltid oppdatert på ny teknologi og jobber med den nyeste tech-stacken.
Her vil du få jobbe med spennende prosjekter i flere ulike bransjer: alt fra startups til globale giganter og myndigheter, hvor du får være med og utgjøre en forskjell.
Våre ledere fører en god personalpolitikk – hos oss er våre konsulenter superstjerner og prioriteres alltid først. Vi tilbyr godt samhold, vi har gode fordeler og tilbyr stor frihet og fleksibilitet i ditt arbeid.
Kvalifikasjoner
Vi tror du vil trives godt inn i rollen hvis du:
Det vil også være et stort pluss hvis du har erfaring med Spark, Delta og Kafka, samt kjennskap til visualiseringsverktøy som f.eks PowerBI, Quicksight, Qlik og/eller Tableau.
May the source be with you!
Data Engineer • Oslo
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