(Senior) Data & AI Engineer (m/f/d) - Tieto Tech Consulting

Stellenbeschreibung:

Job Description

Do you turn raw data into real impact? Do you see patterns where others see chaos, and opportunities where others see complexity? As a (Senior) Data & AI Engineer, you know that data is more than numbers – it’s the foundation for smarter decisions and real business value. If you’re driven by solving complex challenges, building scalable data solutions, and making an impact beyond the code, then you might be exactly who we’re looking for.

Tieto Tech Consulting is the leading digital accelerator for innovation and sustainable value creation. We combine business design with software engineering to bring digital business to life. With a team of around 300 highly qualified employees at our locations in DACH and a global team of 8,000 colleagues, we are constantly striving to develop and grow.

Responsibilities

  • Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts.
  • Design, implement, and optimize robust data pipelines using modern frameworks such as Databricks or similar technologies.
  • Manage and enhance CI/CD pipelines for automated deployments, including containerization and orchestration.
  • Act as a trusted technical advisor and sparring partner for our customers.
  • Collaborate closely with cross‑functional stakeholders to gather requirements and deliver impactful data‑driven solutions.
  • Monitor, optimize and ensure the performance, scalability and reliability of data workflows.
  • Stay up to date with the latest trends in data engineering and apply innovative approaches to solve complex challenges.

Qualifications

  • 5+ years of experience in designing and implementing scalable data solutions, platforms, and data integration interfaces.
  • Strong expertise in data modeling (e.g., dimensional modeling, normalization/denormalization).
  • Proven experience with cloud‑based data platforms (Azure preferred, but experience with AWS or GCP is equally welcome) as well as tools like Databricks, Microsoft Fabric and architectural patterns such as Medallion.
  • Strong programming skills in Python and SQL, with curiosity and openness towards leveraging AI‑assisted stakeholders.
  • Solid software engineering mindset, including experience with Git, CI/CD pipelines and modern development practices.
  • Ability to communicate complex technical concepts clearly to both technical and non‑technical stakeholders.
  • A consulting mindset with a customer‑centric approach.
  • Fluency in German (C1 level) and English for stakeholder discussions.
  • Passion for emerging technologies and a continuous learning mindset in the evolving data & AI landscape.
  • High level of ownership, self‑motivation and the ability to quickly dive into new topics while constructively challenging the status quo.

Additional Certifications

  • Valid certifications in Databricks, Microsoft Fabric (and MS Azure) which are considered a strong advantage.

Benefits

  • Professional growth, meaningful projects, open culture, and an outstanding work‑life balance.
  • Access to an extensive international network of industry experts.
  • Opportunity to create the future of a growing, fast‑developing, and important sector.
  • Flexible hybrid work model as part of our culture and way of working.
  • Benefits such as laptop and smartphone also for private use, health programs, team events, and a supportive environment to prosper professionally.
  • Commitment to curiosity and lifelong learning, where you unlearn and relearn every day as new possibilities emerge.

Locations

Austria (Vienna, Linz, Graz); Germany (Berlin, Regensburg or remote from other German locations).

Equal Opportunity

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe this fosters an inspiring workplace and fuels innovation.

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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