Senior Data Engineer (with AI) at Provectus

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. Responsibilities: • Design, build, and maintain robust data pipelines and ML systems for production environments. • Develop and deploy ML and LLM-based solutions addressing real client business challenges. • Build and maintain ETL/ELT workflows using modern orchestration and distributed computing tools. • Implement MLOps practices: CI/CD, automated testing, model monitoring, and experiment tracking. • Architect and implement cloud-native data and AI/ML solutions, primarily on AWS. • Collaborate closely with Data Scientists, AI/ML Engineers, Backend Engineers, and client stakeholders. • Participate in code reviews, contribute to technical documentation, and share knowledge within the team. • Engage in client-facing discussions to understand requirements and propose technical solutions. Why Provectus? • Impactful work: projects span GenAI, MLOps, and NextGen data platforms for global enterprises across multiple industries. • Senior-calibre peers: collaborate with top ML and Data professionals across North America, LATAM, and EMEA. • Career growth: a clear path toward Tech Lead if you have the ambition — we actively develop our engineers. • Recognised expertise: AWS Premier Consulting Partner featured in Forrester’s AI Technical Services Landscape.