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Senior Data Engineer - Databricks & Azure Data Platform

Jit Team • Poland
Remote
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Join an AI-assisted data interaction project for a European energy company, building scalable data solutions on Databricks and Azure. Design and develop data pipelines, Bronze/Silver/Gold layers, and semantic models enabling natural-language data insights. Requires 3-5 years in BI/Data Analytics with strong Databricks, Azure, and Power BI expertise.

Key Highlights
Fully remote position with a European energy company undergoing fossil-fuel transition
Work in an agile environment on an AI-assisted governed data interaction layer
Build and optimize data pipelines, semantic models, and analytics solutions using Databricks and Azure
Key Responsibilities
Design and develop scalable data solutions using Databricks and Azure Data Platform
Build and optimize data pipelines, ingestion processes, and data transformations
Create and maintain Bronze, Silver, and Gold data layers to ensure high-quality and accessible data
Develop data models and semantic layers that support analytics and AI-driven insights
Enable natural language interaction with data through semantic and knowledge-based solutions
Ensure platform performance, reliability, monitoring, and data availability
Collaborate with business and technical stakeholders to deliver data-driven solutions
Produce technical documentation and support knowledge transfer activities
Technical Skills Required
Databricks Azure Data Platform Power BI
Benefits & Perks
Fully remote work
Agile environment
Meaningful mission in energy transition
Nice to Have
Knowledge of Power Query (M)
Python or R
Power Automate
Microsoft Copilot
Expert-level proficiency in Microsoft Excel
Knowledge of Data Governance processes

Job Description

1100 - 1600 PLN / MD Fully remote
  • You will work in agile environment
  • The energy market is in an exciting transition, moving away from fossil fuels towards decentral solutions, renewables, and energy efficiency
  • The harmonious balance of employees in terms of age, religion, gender identity & expression, sexual identity, disability, and ethnic background

The project, aligned with the Leapfrog initiative, aims to create an AI-assisted, governed data interaction layer on top of IT4IT data. It will enable users—starting with the Enterprise Architect persona—to ask natural-language questions, gain governed insights, explore a semantic model, and generate architecture artefacts.
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