Senior Data Engineer (Capacity & Forecasting Systems)

• Design and optimize PostgreSQL data models for historical capacity and lifecycle tracking
• Build and maintain robust ETL pipelines using Python for structured and semi-structured (JSON) data
• Aggregate and structure data by Region, Node Type, and time dimensions
• Support time-series analysis and capacity forecasting use cases
• Develop and enable PowerBI datasets, models, and reports based on clean, reliable data
• Ensure data quality, performance, and scalability across the pipeline
• Translate infrastructure and business requirements into scalable data solutions
• Collaborate closely with software developers and stakeholders on end-to-end data workflows

• At least 5 years of experience as a Data Engineer or in a similar data-focused role
• Strong proficiency in SQL and relational databases, preferably PostgreSQL
• Solid experience with Python for data transformation and pipeline development
• Hands-on experience working with JSON and semi-structured data formats
• Proven track record of building and optimizing ETL processes
• Practical experience with PowerBI, including dataset modeling and report creation
• Experience working with time-series and historical datasets
• Strong understanding of data modelling principles for analytics and forecasting
• Upper-Intermediate level of English 

WILL BE A PLUS:

• Experience with Kibana or other BI / visualization tools
• Familiarity with monitoring, infrastructure, or capacity planning data
• Exposure to forecasting techniques or growth trend analysis
• Experience integrating data from metrics and inventory systems

PERSONAL PROFILE:

• Analytical mindset, able to reason about data trends and anomalies beyond raw numbers
• Strong stakeholder collaboration skills, translating business and infrastructure needs into actionable data models and reports
• High attention to detail and data quality, with a strong sense of ownership and accountability