As a Mid/Senior Data Engineer at Cloud++, work on designing robust ETL/ELT pipelines and data models, enabling data-driven decision-making with cloud technologies.
Responsibilities
Work closely with development and DevOps teams to enable data-driven decision making across the platform
Maintain high quality, scalability, and reliability standards
Design and implement robust ETL/ELT pipelines
Translate business requirements into scalable data models and KPI definitions
Collaborate with customers and internal teams to deliver reliable dashboards and analytics solutions
Extract data from cloud and on-premise applications via REST APIs using Python
Transform and load data into SQL databases or lakehouse environments
Visualize customer-requested KPIs in Power BI dashboards
Contribute to the design and oversight of data environments anchored in Microsoft Fabric and Azure
Ensure performance, maintainability, cost-efficiency, and proper integration within the broader cloud architecture
Collaborate with DevOps teams to implement CI/CD practices for data pipelines and ensure production-grade deployment standards
Requirements
Good proficiency in English (mandatory) - B2/C1
At least 3 years of relevant experience as a Data Engineer or in a similar role
Strong experience designing and implementing ETL/ELT pipelines using Python
Experience extracting and integrating data from REST APIs
Strong SQL skills and experience with data modeling
Ability to translate business requirements into data models, KPI definitions, and dashboard specifications
Experience building and publishing Power BI dashboards and reports
Familiarity with Microsoft Fabric (e.g., Lakehouses, Data Factory, Pipelines)
Understanding of Azure data services (e.g., Azure SQL, Data Lake, Storage)
Experience working in Agile/Scrum environments
Strong analytical and problem-solving skills
Taking ownership of tasks and delivering high-quality solutions
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