Jacobs
Jacobs
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Senior AI/Data Platform Engineer (GCP, AI & GenAI Platforms)

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SeniorFull-time
#388995·Dodano wczoraj·0
Źródło: nofluffjobs.com
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Tech Stack / Keywords

PythonData engineeringAIGoogle Cloud PlatformMachine learningBigQueryRAGGenAISQLVertex AIAzureAWS

Firma i stanowisko

Join our dynamic team building cloud-native AI data platforms that power analytics, machine learning, and GenAI solutions across global, multi-industry programs.

Wymagania

  • 5+ years of experience in Data Engineering or AI data platform roles
  • Strong hands-on experience with Google Cloud Platform
  • Deep experience with BigQuery and cloud-native data architectures
  • Strong programming skills in Python, SQL, or similar languages
  • Practical understanding of AI, ML, and GenAI data requirements
  • Experience operating production data platforms at enterprise scale

Nice to have:

  • Experience with Vertex AI and managed ML services
  • Familiarity with streaming technologies (e.g., Pub/Sub, Dataflow streaming)
  • Multi-cloud experience (AWS, Azure, and GCP)
  • Experience in consulting or complex, multi-project environments

Obowiązki

Design and operate GCP-based data platforms:

  • Design and operate data platforms on Google Cloud Platform for analytics, ML, and GenAI
  • Build scalable data pipelines using BigQuery, Cloud Storage, Dataflow, Dataproc, or equivalents
  • Design data architectures supporting high-performance AI and ML workloads
  • Integrate structured and unstructured data sources at enterprise scale

AI & GenAI enablement:

  • Enable GenAI use cases such as RAG, semantic search, and AI agents on GCP
  • Implement embedding pipelines and vector search solutions (e.g., BigQuery, Vertex AI, or vector databases)
  • Collaborate with ML engineers and data scientists to support end-to-end AI workflows
  • Support deployment and operation of AI workloads using Vertex AI or equivalent services

Platform reliability & optimization:

  • Monitor and optimize performance, scalability, and cost of GCP data platforms
  • Implement CI/CD, data quality, and observability practices
  • Contribute to platform standards, reference architectures, and best practices

Benefity

  • Full-time employment with competitive salary
  • Flexible hours: start between 7:30 and 10:00 AM
  • Comprehensive benefits including Lux Med medical care, psychological support, life insurance
  • Access to My Benefit cafeteria system and Multisport card co-financing
  • Car/bike park sharing system
  • Co-financed holidays ("Wczasy pod Gruszą")
  • Global projects
  • Access to diverse employee networks
  • Continuous learning through Graduate Development Program, Learners’ Community, and self-learning platforms
  • Language courses in English, German, and Polish
Elastyczne godziny
Karta sportowa
Opieka zdrowotna
Ubezpieczenie
Kursy językowe

Inne informacje

As a Disability Confident employer, all disabled applicants who meet the vacancy criteria will be interviewed. Reasonable adjustments for the recruitment process are available upon request.

Jacobs

Jacobs

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