Senior AI/Data Platform Engineer (Privacy First, PII & Azure)
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SeniorFull-time
#388993·Dodano wczoraj·0
Źródło: nofluffjobs.comTech Stack / Keywords
PythonData engineeringAIMachine learningRAGGenAISQLAzure DatabricksAzure Data FactorySensitive DataGDPRAzure Pureview
Firma i stanowisko
Jacobs Digital & Data Hub in Kraków is growing as part of the global organization, building enterprise-scale AI and data platforms supporting advanced analytics and GenAI solutions across regulated and data sensitive domains such as Government, Financial Services, Infrastructure, Energy, and Health.
Wymagania
- 5+ years of experience in data platform, data engineering, or AI engineering roles
- Strong hands-on experience with Azure data services (e.g. ADLS, Synapse, Azure Databricks, Azure Data Factory)
- Practical experience handling PII and sensitive data in enterprise or regulated environments
- Solid understanding of data privacy, GDPR, data access controls, and security principles
- Strong programming skills in Python, SQL, or similar languages
- Experience enabling AI/GenAI workloads on governed data platforms
- Ownership mindset and ability to design solutions for enterprise scale
Nice to have:
- Experience with Azure Purview/Microsoft Purview or similar governance tools
- Exposure to Financial Services, Government, or other regulated domains
- Familiarity with Zero Trust or confidential computing concepts
- Experience with data quality, lineage, and metadata management
Obowiązki
- Design and operate Azure-based data platforms supporting AI, ML, and GenAI workloads
- Implement privacy-by-design architectures for handling PII and sensitive data
- Apply data classification, masking, tokenization, anonymization, and access-control strategies
- Ensure compliance with GDPR and enterprise data governance standards
- Enable GenAI use cases such as RAG, semantic search, and AI assistants on governed and secured data
- Implement secure data access patterns for LLMs and agent-based workflows
- Collaborate with AI/ML teams to ensure models operate safely on sensitive datasets
- Support vector search and embedding pipelines with strong security boundaries
- Build and maintain scalable data pipelines (batch and real-time) on Azure
- Implement monitoring, observability, and auditing of data and AI workloads
- Contribute to data governance frameworks, standards, and architectural best practices
Benefity
- Full-time employment with salary matching qualifications
- Flexible hours with start between 7:30 and 10:00 AM
- Lux Med medical care, psychological support, life insurance
- My Benefit cafeteria system and Multisport card co-financing
- Car/bike park sharing system
- Co-financed holidays "Wczasy pod Gruszą"
- Participation in international projects
- Diverse employee networks (Women’s Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more)
- Graduate Development Program, Learners’ Community, self-learning platforms
- Language courses in English, German, and Polish
Elastyczne godziny
Karta sportowa
Opieka zdrowotna
Ubezpieczenie
Kursy językowe
Płatny urlop
Płatne święta
Inne informacje
Jacobs is a Disability Confident employer and will interview all disabled applicants who meet the criteria. Reasonable adjustments during recruitment are offered upon request.
Jacobs
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