Senior Data Engineer (with AI)

Provectus is a leading AI consultancy and AWS Premier Consulting Partner with 15+ years of R&D excellence. We deliver advanced solutions across AI, Data, ML, MLOps, and Cloud, with recognition from Forrester and AWS (FinServ AI Competency).

Partnering with innovators like Anthropic and Cohere, we build cutting-edge solutions—from LLM-powered applications to next-gen data platforms—across multiple industries.

As we expand in Poland, we’re looking for a Senior Data Engineer to join our EMEA team and drive high-impact AI and data projects alongside global experts.

Requirements:
Experience

• 6+ years of hands-on engineering experience with production systems, not just building POCs
• Full-stack mindset, comfortable across AI, Backend development, Data, and cloud infrastructure
• Autonomous working style — you drive work forward without needing heavy process overhead
• Experience adopting AI tools in day-to-day workflows (e.g. Claude Code, GitHub Copilot, or similar)
• Strong sense of ownership and proactivity; you spot problems before they're handed to you
• Openness to broadening skills into adjacent areas
• B2+ English, comfortable collaborating across distributed, multicultural teams
  

Data Engineering

• 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
  

LLMs & Generative AI / MLOps

• 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
  

Cloud & Infrastructure

• Hands-on experience with AWS (SageMaker, Bedrock, Lambda, Glue, S3, ECR, or similar); GCP considered Relevant cloud certifications are a plus