Senior Data Engineer (with AI)

Provectus is a leading AI consultancy seeking a Senior Data Engineer to drive high-impact AI and data projects. The role involves designing, building, and maintaining robust data pipelines and ML systems for production environments, collaborating with global experts, and working on impactful projects across multiple industries.

Requirements

• 6+ years of hands-on engineering experience with production systems
• Full-stack mindset, comfortable across AI, Backend development, Data, and cloud infrastructure
• Autonomous working style, strong sense of ownership and proactivity
• Experience adopting AI tools in day-to-day workflows
• Strong Python and SQL skills and solid software engineering fundamentals
• Hands-on experience with Apache Spark for large-scale data processing
• Proficiency with cloud data warehouse technologies: Snowflake, Redshift, or ClickHouse
• Proven experience building batch data workflows with Apache Airflow or similar orchestration tools
• Experience with real-time data processing using Kafka and streaming frameworks
• Experience with LLM-based application patterns, including RAG architectures, prompt design, and agentic workflows
• Basic understanding of embedding models, vector databases, and semantic search
• Awareness of LLM evaluation techniques and quality assurance approaches
• Experience deploying and maintaining ML models in production environments
• Understanding of CI/CD practices applied to ML pipelines
• Hands-on experience with AWS (SageMaker, Bedrock, Lambda, Glue, S3, ECR, or similar); GCP considered