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TI
Tietoevry
19d ago

Senior Data Engineer(m/w/x)

Wien, Linz, Graz, Berlin
from 3,843 / month
Full-timeWith Home OfficeSenior
Data Science

Description

In this role, you will design and maintain data platforms while collaborating with various teams to deliver impactful data solutions. Your day-to-day responsibilities will involve optimizing workflows and staying ahead of the latest data technology trends.

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Requirements

  • Minimum 3 years in designing and implementing data solutions
  • Proficiency in data modeling
  • Hands-on experience with modern data technologies
  • Knowledge of software development and CI/CD pipelines
  • Experience with cloud-based data platforms and Medallion architecture
  • Excellent communication skills for explaining technical concepts
  • Fluency in German (C1 level) and English for stakeholder discussions
  • Passion for future developments and eagerness to learn
  • Team player with responsibility and organizational skills
  • Strong communication skills for coaching colleagues
  • Striving to learn new innovative technologies
  • Valid certifications in Databricks and Microsoft Fabric

Work Experience

3 years

Tasks

  • Design scalable data platforms
  • Build and maintain data solutions
  • Collaborate with stakeholders to understand requirements
  • Deliver impactful data initiatives
  • Optimize data workflows for performance
  • Monitor data workflows for scalability and reliability
  • Stay updated on data technology trends
  • Apply innovative solutions to complex challenges

Tools & Technologies

DatabricksMicrosoft FabricAzure Data Factory

Languages

GermanBusiness Fluent

EnglishBusiness Fluent

Benefits

Modern Equipment

  • Laptop and smartphone for private use

Healthcare & Fitness

  • Health programs

Team Events

  • Team events

Parking & Commuter Benefits

  • Excellent public transport connection

Additional Allowances

  • Food vouchers

Public Transport Subsidies

  • Contribution to costs of KlimaTicket

Snacks & Drinks

  • Fresh fruits

Flexible Working

  • Flexible hybrid work model
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