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TITietoevry

(Senior) Data & AI Engineer(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Designing scalable data platforms and AI solutions on cloud environments like Azure, AWS, or GCP. 5+ years of data platform design and implementation experience required. Flexible hybrid work, laptop and smartphone for private use.

Requirements

  • 5+ years designing/implementing scalable data solutions, platforms, integration interfaces
  • Strong data modeling expertise (dimensional, normalization/denormalization)
  • Proven cloud data platform experience (Azure, AWS, GCP)
  • Strong Python and SQL programming skills
  • Curiosity and openness towards leveraging AI-assisted stakeholders
  • Solid software engineering mindset (Git, CI/CD, modern practices)
  • Clear communication of technical concepts to stakeholders
  • Consulting mindset with customer-centric approach
  • Fluency in German (C1 level)
  • Fluency in English for stakeholder discussions
  • Passion for emerging technologies
  • Continuous learning mindset in data & AI landscape
  • Eagerness to learn innovative IT solutions
  • High ownership and self-motivation
  • Ability to quickly dive into new topics
  • Constructively challenging the status quo
  • Team player with action-orientation and responsibility
  • Organizing work and solving tasks
  • Actively mentoring colleagues
  • Strong communication skills
  • Striving to learn new innovative technologies
  • Valid Databricks certifications (strong advantage)
  • Valid Microsoft Fabric certifications (strong advantage)
  • Valid MS Azure certifications (strong advantage)

Tasks

  • Design and build scalable data platforms
  • Tailor data & AI solutions to business needs
  • Develop governance structures and access control
  • Implement and optimize data pipelines
  • Use modern frameworks like Databricks
  • Manage and enhance CI/CD pipelines
  • Automate deployments with containerization and orchestration
  • Advise customers as a trusted technical partner
  • Collaborate with cross-functional stakeholders
  • Gather and implement stakeholder requirements
  • Deliver impactful data-driven solutions
  • Monitor and optimize data workflow performance
  • Ensure scalability and reliability of data workflows
  • Stay updated on data engineering trends
  • Apply innovative approaches to complex challenges

Work Experience

  • 5 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • SQL
  • Azure
  • AWS
  • GCP
  • Databricks
  • Microsoft Fabric
  • Git
  • CI/CD

Benefits

Flexible Working

  • Flexible hybrid work model

Modern Equipment

  • Laptop and smartphone for private use

Healthcare & Fitness

  • Health programs

Team Events

  • Team events

Mentorship & Coaching

  • Environment to prosper professionally
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Tietoevry and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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