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(Senior) Data & AI Engineer(m/w/x)
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
- German – Business Fluent
- English – Business 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
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(Senior) Data & AI Engineer(m/w/x)
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
- German – Business Fluent
- English – Business 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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Tietoevry
Industry
IT
Description
The company is committed to developing enterprises and society through IT, focusing on business transformation and digitalization.
Not a perfect match?
- Tietoevry
(Senior) Data & AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWien, Graz, Linz, Berlin, Regensburgfrom 3,954 / month - Capgemini
Senior Data & AI Engineer Sovereign Cloud(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Hamburg, München, Köln, Frankfurt am Main, Düsseldorf, Stuttgart, Dortmund, Nürnberg, Erfurt - Tietoevry
Lead Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorWien, Linz, Graz, Berlin, Regensburgfrom 4,476 / month