Motor de búsqueda de ofertas Marc O'Polo

Data Engineer m/w/d


Details des Angebots

Kennziffer

2024-3340  

Abteilung

IT, Digital Intelligence & SAP

Position

Experienced Professional

Arbeitsgebiet

Headquarter

Beschreibung der Stelle

Berufsprofil

Data Engineering - Data Engineer

Stellenbezeichnung

Data Engineer m/w/d

Eintrittsdatum

01.04.2025

Arbeitsumfang

Vollzeit

Zusatzfeld / Fachbereich

  • We are a team of 15 experts working together to drive customer-centricity and data-informed decision-making at Marc O’Polo.
  • We work on various tasks in Kanban mode, ticket by ticket. Wednesday is office day - on all other days you are free to decide where you are most productive.
  • Numbers and data are our passion, but people come first - every employee is valued here.
  • We set ourselves high goals and want to achieve them together. In regular meetings, we discuss current topics, suggestions and challenges of the Data Lakehouse.
  • Test, try, fail, learn, repeat. We try things out and dare to do something - that's progress.

Deine Aufgaben

  • Together with your team, you implement our new state-of-the-art data lakehouse.
  • You will use AWS, Kubernetes, Airflow, DeltaLake, Dremio, EMR, Spark, Python, CircleCI and PowerBI as our tech stack.
  • You are not satisfied with the status quo, but constantly question parts of our architecture to make it even better.
  • You work closely with the areas of Data Science, Data Analytics, DevOps Engineering and various business units.

Dein Profil

  • Cloud and data are your passion - Data Lakehouses make your heart beat faster.
  • Enthusiastic about new technologies, you never stop learning.
  • You are an open-minded person and enjoy discussing problems with your colleagues and finding solutions together.
  • You have a bachelor's degree in informatics, computer science, statistics, mathematics, physics or a similar field.
  • Experience as a data scientist or data engineer in a company is part of your background.
  • You have experience with tools like AWS, Kubernetes, EMR, Dremio and PowerBI.
  • Good SQL and Python skills are in your repertoire, and building performant and stable ETLs is something you know how to do.
  • Your English level is very good.
     

Einsatzort der Stelle

Standort

Deutschland, Bayern, Stephanskirchen

Gesellschaft

04 - Marc O' Polo SE

Postleitzahl

83071

Straße

Hofgartenstraße 1

Betreut durch

Hauptansprechpartner

Sabrina Sämann

E-Mail

sabrinasaemann@marc-o-polo.com