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.

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.