Senior Data Engineer @Provectus

[Hiring] Senior Data Engineer @Provectus

1wk ago - Provectus is hiring a remote Senior Data Engineer. πŸ’Έ Salary: unspecified πŸ“Location: Europe, EMEA, Eastern Europe, Western Asia (Middle East), Middle Africa, Northern Africa, Northern Europe, Southern Europe, Western Europe

Role Description

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.

Qualifications

  • 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 β€” 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.
  • 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.
  • Relevant cloud certifications are a plus.

Requirements

  • 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.

Benefits

  • 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 β€” we actively develop our engineers.
  • Recognised expertise: AWS Premier Consulting Partner featured in Forrester’s AI Technical Services Landscape.
Before You Apply
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remote Be aware of the location restriction for this remote position: Europe, EMEA, Eastern Europe, Western Asia (Middle East), Middle Africa, Northern Africa, Northern Europe, Southern Europe, Western Europe
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remote Be aware of the location restriction for this remote position: Europe, EMEA, Eastern Europe, Western Asia (Middle East), Middle Africa, Northern Africa, Northern Europe, Southern Europe, Western Europe
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply βœ“
Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
Offer Declined βœ“
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