Data Engineer

4 months ago

Aarhus, Denmark IBM Full time

Introduction
IBM Client Innovation Center er en spændende og nytænkende konsulentenhed i IBM-koncernen. Vi hjælper vores kunder med deres digitaliseringsrejse, bidrager med ny teknologi og nye måder at arbejde på. Vi er pt. godt på vej på rejsen fra start-up til scale-up, og du vil derfor blive en del af et ungt team og en organisation i udvikling. Vi bor til dagligt på kontorer på Islands Brygge i København og i Skejby i Aarhus, hvor vi har en åben kultur med højt til loftet og stærkt sammenhold.


Your Role and Responsibilities
Som konsulenthus spænder vores kunders udfordringer bredt; fra at bestride mange terabytes af streaming data til at opbygge skalerbare data storage og advanced analytics løsninger i Cloud. I denne stilling vil du være en nøgleperson i løsningen af disse udfordringer. I tæt samarbejde med andre IBM’ere og vores kunders egne specialister vil du komme til at prøve kræfter med at:

  • Arbejde med data pipelines, infrastruktur og arkitektur inden for et etableret data engineering framework i et stort cloud miljø.
  • Arbejde med de nyeste teknologier inden for data-håndtering, processering og storage i Cloud.
  • Eksekvere på og skabe data-dreven vækst og innovation i en række forskellige brancher.
  • Skabe datadrevne indsigter hos slutbrugere ved at anvende kompleks forretningslogik og analyser af store mængder data.
  • Arbejde i krydsfunktionelle teams med forretningsanalytikere, data scientists, softwareudviklere, UX designere og automation konsulenter.

Hvem er du?
For at passe til rollen som Data Engineer forestiller vi os, at du:

  • Har få års professionel erfaring med datahåndtering, er netop færdiguddannet eller er ved at være færdig med dit studie.
  • Har stærke kompetencer med programmering i Python og specifikt med erfaring indenfor data processering, infrastruktur og generel deployment på cloud i værktøjer som eks. SQL, Terraform, Docker, Kubernetes etc.
  • Forståelse for eller erfaring med data warehousing/data lakehouse principper og skalering af kode (eks. Spark, Databricks etc.) er en fordel.
  • Har en stærk forretningsforståelse, er dygtig til stakeholder management og motiveres af at skulle kommunikere i forskellige lag i en organisation.
  • Er proaktiv, social og god til at konvertere analyser til forretningsmæssig værdi.

Vi arbejder primært med lokale kunder i Danmark, hvorfor det ligeledes er et krav, at du kan begå dig professionelt på både dansk og engelsk. Du taler flydende Dansk og Engelsk.


Vi tilbyder

  • Fokus på fleksibilitet i arbejdslivet. Vi mener ikke, at man skal gå på kompromis med sit privatliv, for at kunne skabe en fed karriere hos os. Vi har gode muligheder for hjemmearbejde alt efter dit og dit projekts behov.
  • Du vil fra start blive tilknyttet en buddy der kan hjælpe dig med at komme godt i gang i forhold til alt det praktiske.
  • Vi lægger stor vægt på kontinuerlig læring og kompetenceudvikling og i samarbejde skaber den karrierevej, der understøtter dine ambitioner. Vi stiller f.eks. krav om, at man har minimum 40 timers læring om året.
  • Fordelen ved at være en stor global virksomhed, er at du får muligheden for at lære fra nogle af verdens bedste inden for de helt nye teknologier eller få en mentor der kan hjælpe dig med dine karrieremål.
  • En social og nede på jorden kultur uden spidse albuer, hvor folk arbejder tæt sammen, hjælper hinanden og har det sjovt med hinanden.

Har du spørgsmål til stillingen, er du også velkommen til at kontakte Data Analytics Practice Lead, Mikkel Buchvardt på .


Send os gerne dit CV og din ansøgning hurtigst muligt, vi screener hurtigst muligt og lukker opslaget, når vi har fundet den rigtige kandidat.


Vi benytter en kode/programmerings-assessment i forbindelse med ansøgning til denne stilling. Du får tilsendt casen automatisk, når du søger og vi beder vi dig bruge Python som kodesprog, når du udfylder den. Vi ser frem til at modtage dit CV og din case


Required Technical and Professional Expertise
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Preferred Technical and Professional Expertise
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