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Data Engineer

Data Engineer

INNOBO sp. z o.o.Warszawa, Masovian, Poland
3 days ago
Job description

technologies-expected :

  • Azure Data Factory
  • MongoDB
  • CloudWatch
  • Stackdriver
  • Prometheus
  • Grafana

about-project :

  • Client : manufacturing industry
  • Hourly Rate : up to 135 PLN + VAT
  • Work arrangement : remote
  • Duration : start in July 2025 with 100% or 80% until end of the 2025
  • For Client from manufacturing industry we are looking for Data Engineer.

    • responsibilities :

  • Improve design and implement robust, scalable data pipelines to support after-sales service functions such as warranty, claims, and reimbursement.
  • Develop and optimize data architectures for efficient storage, retrieval, and processing of after-sales application data.
  • Build automated workflows for transforming and monitoring data from ROForm, ASC ERP, CRM (LA region).
  • Evaluate and select the appropriate technologies and tools for data solutions.
  • Implement data governance and security measures.
  • Ensure high data quality, integrity, and availability to enable accurate reporting and advanced analytics.
  • Collaborate with product owner, stakeholders and application teams to deliver data solutions aligned with after-sales application.
  • Monitor performance and cost efficiency of data systems, continuously improving architecture and processes.

    • requirements-expected :

  • Cloud Platforms : Proficient in Azure for deploying scalable data solutions.
  • Data Pipeline Development : Expertise in Azure Data Factory.
  • Data Storage : Experience with cloud-based storage and databases e.g. Mongo DB
  • Data Modeling : Strong skills in designing normalized and denormalized data models for reporting and analytics
  • Proactive monitoring and alerting setup via tools like CloudWatch, Stackdriver, or Prometheus + Grafana.
  • Languages : SQL, or Java for data processing and automation.
  • APIs & Messaging : REST APIs, Pub / Sub for real-time and batch data ingestion.
  • Strong experience working with cross-functional teams including product, operations, analytics, and support.
  • Skilled in translating business requirements into scalable data solutions.
  • Comfortable in Agile / Scrum environments
  • Good knowledge in CI / CD Practices
  • Deep understanding of complex data architectures and systems.
  • Deep understanding of data integration techniques, including real-time data processing and streaming.
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    Data Engineer • Warszawa, Masovian, Poland