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Senior Data Engineer (with AI)

19 hours, 11 minutes ago
Poland
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark AWS CI/CD ClickHouse GCP Kafka LLM Machine Learning MLOps Python Snowflake SQL
Apply Now
Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 27

Description

  • Design, build, and maintain robust data pipelines and ML systems for production environments.
  • Develop and deploy ML and LLM-based solutions that address client business challenges.
  • Build and maintain ETL/ELT workflows using orchestration and distributed computing tools.
  • Implement MLOps practices including CI/CD, automated testing, model monitoring, and experiment tracking.
  • Architect and implement cloud-native data and AI/ML solutions, primarily on AWS.
  • Collaborate with Data Scientists, AI/ML Engineers, Backend Engineers, and client stakeholders.
  • Participate in code reviews and contribute to technical documentation and knowledge sharing.
  • Engage in client-facing discussions to understand requirements and propose technical solutions.

Requirements

  • 6+ years of hands-on engineering experience with production systems, not just POCs.
  • Full-stack mindset with comfort across AI, backend development, data, and cloud infrastructure.
  • Autonomous working style with strong ownership and proactivity.
  • Experience using AI tools in day-to-day workflows, such as Claude Code or GitHub Copilot.
  • Strong Python and SQL skills with solid software engineering fundamentals.
  • Hands-on experience with Apache Spark for large-scale data processing.
  • Proficiency with cloud data warehouse technologies such as 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 application patterns such as RAG, 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 services such as SageMaker, Bedrock, Lambda, Glue, S3, and ECR.
  • GCP experience is considered relevant.
  • Relevant cloud certifications are a plus.
  • B2+ English and comfort collaborating across distributed, multicultural teams.

Benefits

  • Remote full-time work.
  • Opportunity to work on impactful GenAI, MLOps, and next-generation data platform projects.
  • Collaboration with senior ML and Data professionals across North America, LATAM, and EMEA.
  • Clear growth path toward Tech Lead for engineers with ambition.
  • Work at an AWS Premier Consulting Partner recognized by Forrester.
  • Exposure to global enterprise clients across multiple industries.

Interested in this position?

Apply directly on the company website

Apply Now

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