Czym będziesz się zajmować? Client: manufacturing industryHourly Rate: up to 140 PLN + VATWork arrangement: remoteDuration: start in July 2025 with 100% or 80% until end of the 2025For Client from manufacturing industry we are looking for Data Engineer. 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.

Kogo poszukujemy? 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 analyticsProactive 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 environmentsGood knowledge in CI/CD PracticesDeep understanding of complex data architectures and systems.Deep understanding of data integration techniques, including real-time data processing and streaming.