Senior Data Engineer - Azure

YellowIpe • Power BI • ETL/ELT • Azure Data Factory • 28 days ago
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Salary
≈ $37k – $96k per year (Estimated)
Location
In office (Portugal)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 14, 2026.

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YellowIpe

YellowIpe is a Portuguese technology consultancy and talent company working in SAP, Salesforce, cloud and data engineering. It staffs client projects with SAP developers, cloud DevSecOps engineers, data engineers and backend developers, including DevOps as a service. The company is headquartered in Lisbon, Portugal.
yellowipe.io • HQ: Lisbon, Portugal • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation
Tech stack of YellowIpe

About YellowIpe

Our mission is to inspire the connection between technology and people. We nurture the best in our professionals through our expertise in finding and attracting top talent for the best projects. People Focus, Collaboration, and Commitment are the pillars that guide us on this journey.

Join the yellow team as our new Senior Data Engineer - Azure!

Responsibilities

  • Build Data Lake ingestion and staging processes for corporate data sources using Azure Data Factory;

  • Design and implement Data Lake lifecycle processes to support effective data provisioning for analytical requirements;

  • Develop and maintain ETL routines using Azure Data Factory to load transformed data into the Data Warehouse;

  • Design and maintain scalable and standardized data models;

  • Work closely with Power BI developers, supporting the integration of reports with standardized Data Warehouse models;

  • Diagnose, troubleshoot and resolve complex issues across the data stack;

  • Optimize and automate processes to improve performance, reliability and availability;

  • Contribute to the continuous evolution and improvement of the data platform.

Requirements

  • 5+ years of professional experience as a Data Engineer;

  • Strong hands-on experience with Azure Data Factory;

  • Solid knowledge of Azure Data Lake;

  • Experience with Databricks;

  • Strong knowledge of Azure SQL;

  • Experience with Azure SQL Data Warehouse;

  • Experience with Azure Analysis Services;

  • Knowledge of Power BI Services;

  • Strong experience with ETL/ELT processes;

  • Solid understanding of Data Warehousing and Data Modeling;

  • Experience troubleshooting and optimizing data pipelines and analytical solutions;

  • Ability to work autonomously and collaborate effectively with technical and BI teams.

Nice to Have

  • Experience working with large-scale corporate data platforms;

  • Experience designing reusable and standardized data models;

  • Strong focus on performance optimization and automation.

Important Information

  • Seniority: Senior

  • Start date: 12 October 2026

  • Duration: Long-term

 

 

 

Candidatura: Ver a vaga e candidatar-me na YellowIpe

 

 

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