T Hub - Data Engineer (Microsoft Fabric)

Our requirements

• Strong hands-on experience with Microsoft Fabric or comparable Azure data engineering platforms, including Lakehouse patterns, Delta Lake, data pipelines, and notebook-based transformations.
• Advanced Python, SQL, and PySpark skills for large-scale data ingestion, transformation, migration, and optimization of IoT SIM, lifecycle, usage, and network telemetry data.
• Experience with Medallion Architecture (Bronze/Silver/Gold), data modeling for analytical workloads, partitioning, performance tuning, and preparation of reliable datasets for downstream consumption.
• Practical experience with data quality frameworks, orchestration, monitoring, Git-based development, CI/CD, and production-grade data operations.

Optional

• Hands-on experience with real-time or near-real-time streaming concepts, such as Apache Kafka, Fabric Eventstream, Event Hubs, or similar technologies.
• Background in Data Governance, Microsoft Purview, CMP integrations, telecommunications data models, secure data engineering patterns, or legacy SAP/Oracle modernization.
• Experience with Power BI semantic models, Direct Lake, self-service analytics enablement, or controlled access concepts such as Entra ID, OAuth2, Azure Key Vault, Private Endpoints, and Data Gateways.
• Certifications: DP-600, DP-203, or AZ-305.

Your responsibilities

• Build and maintain scalable data pipelines in Microsoft Fabric, including Lakehouse, Pipelines, Notebooks, Delta Lake, and Medallion Architecture, to process global IoT SIM data efficiently and reliably.
• Develop robust ingestion and transformation workflows for Oracle, SAP, CSV, CDC, APIs, and CMP sources, structuring data through Medallion Architecture (Bronze/Silver/Gold) and reusable data models.
• Implement data quality checks, validation rules, monitoring, and automated error handling to ensure trusted datasets for reporting, analytics, and operational use cases.
• Collaborate with architects, product owners, analysts, development, QA, and DevOps teams to industrialize data products, establish CI/CD practices, and support operational run models.

About the project

What we offer

• Employment contract
• Additional day off on the occasion of birthdays/namedays
• Medical package and life insurance
• Benefit platform - you choose what you benefit from
• Access to training platforms to improve your knowledge
• I know Talent - training or money for referring friends to work 😊!
• Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• corporate products and services at discounted prices
• integration events
• mobile phone available for private use
• no dress code
• parking space for employees
• extra social benefits
• sharing the costs of tickets to the movies, theater
• holiday funds
• birthday celebration
• sharing the costs of a streaming platform subscription
• employee referral program
• charity initiatives
• extra leave
• Benefit Platform

Recruitment stages

• 1.
  Let’s meet to better understand each other's expectations.
• 2.
  Hiring Manager will receive your application after meeting.
• 3.
  Technical meetings with the Hiring Manager and/or team.
• 4.
  Time to decide!

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