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Data Engineer - AI Focused (all genders)

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  • Österreich, Linz
  • Full-time
  • Arbeiten vor Ort

Tasks

  • Design and implement scalable data models and storage structures to support AI applications, including LLM workflows, retrieval systems (RAG), and feature generation across data warehouses, lakes, and vector databases.
  • Build, maintain, and optimize robust data pipelines (ETL/ELT) in Python to ingest, transform, and serve data for both traditional analytics and AI/LLM-driven use cases.
  • Develop and orchestrate end-to-end AI data workflows, including ingestion, embedding generation, indexing, and retrieval, using workflow orchestration tools to ensure reliability and performance.
  • Implement and manage data retrieval pipelines (e.g., RAG), including chunking strategies, embedding pipelines, vector storage, and query optimization for high-quality LLM outputs.
  • Define and enforce data quality standards across both structured and unstructured data, ensuring integrity, consistency, and relevance for downstream AI applications.
  • Build monitoring and observability systems for AI pipelines and LLM interactions, including tracking latency, cost, quality, and failure modes.
  • Design and implement CI/CD pipelines for AI systems, enabling automated testing, validation, and safe deployment of changes to data pipelines, prompts, and models.
  • Establish and maintain data governance, security, and compliance practices, including access control, encryption, and handling of sensitive data in AI workflows (e.g., GDPR considerations).
  • Develop and maintain scalable data and AI platforms that support experimentation, evaluation, and deployment of machine learning and LLM-based systems.
  • Collaborate closely with AI Engineers, Software Engineers, and Product teams to translate business requirements into reliable, production-ready AI and data solutions.

profile

  • Experience building production-grade data pipelines and AI systems (as an AI Engineer, ML Engineer, or Data Engineer).
  • Strong Python skills and solid SQL; able to design and implement reliable ETL/ELT workflows.
  • Hands-on experience with LLM applications, including building and operating RAG pipelines (embeddings, vector stores, retrieval).
  • Familiarity with at least one cloud platform, either GCP or Azure, and relevant data/AI services.
  • Experience with CI/CD and testing for data or AI systems.
  • Practical understanding of monitoring (pipelines and LLM usage: failures, latency, cost, output quality).
  • Comfortable working with Git and collaborative development workflows.
  • Ability to work independently, debug complex systems, and make pragmatic engineering trade-offs.

We offer

  • Onsite Onboarding in our HQ office for an optimal start
  • An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.724, with ST2/rule: EUR 4.346 gross/month)
  • 28 days of well-deserved holidays
  • Great benefits package including company achievement bonus and regular salary reviews
  • Special terms for local gyms
  • Access to Corporate Benefits platform with many discounts
  • Regular team events and company-wide celebrations
  • Open door policy, no dress code rules, frequent all Hands and Leadership Lunches
  • Work From Abroad Program allowing up to 40 days of work outside your contracting country
  • We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us!

Data Engineer - AI Focused (all genders) in Linz

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