Senior Data Engineer (Capacity & Forecasting Systems)

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profile Job Location:

Rrethi i Tiranës - Albania

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

  • 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

Qualifications :

  • 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

Additional Information :

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

Remote Work :

Yes


Employment Type :

Full-time

Design and optimize PostgreSQL data models for historical capacity and lifecycle trackingBuild and maintain robust ETL pipelines using Python for structured and semi-structured (JSON) dataAggregate and structure data by Region Node Type and time dimensionsSupport time-series analysis and capacity fo...
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