Devoteam

Data engineer in telecom

In short

This role involves designing and optimizing data pipelines, ETL/ELT processes, and Lakehouse architectures using Microsoft Azure and Microsoft Fabric. Devoteam is a global Digital Transformation consultancy operating across EMEA with €1B revenue, hiring for a hybrid position in Lisbon. The job demands 3+ years of data engineering experience, strong PySpark/Spark SQL skills, and hands-on work with Azure Data Factory, OneLake, and DataOps/CI-CD practices.

About
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B. We believe in transforming technology to create value for our clients, partners and employees in a world where technology is developed for people.
Responsibilities
•Design and implement scalable data pipelines and data processing solutions using Azure and Microsoft Fabric
•Develop and optimize ETL/ELT processes for large-scale datasets
•Work with Lakehouse architectures (Medallion – Bronze, Silver, Gold) using Fabric or Azure Databricks
•Integrate data from multiple sources using Azure Data Factory / Fabric Data Pipelines
•Build and maintain data models and Lakehouse structures in OneLake
•Ensure data quality, reliability, and performance across the platform
•Optimize Spark workloads and data transformations using PySpark and SQL
•Collaborate with Data Architects, BI teams and Data Scientists to enable analytics and reporting
•Contribute to DataOps practices, CI/CD pipelines and automation
•Support data governance and security best practices across the platform
Requirements
•Experience as a Data Engineer (3+ years)
•Hands-on experience with Microsoft Azure data services
•Experience with Microsoft Fabric (Lakehouse, pipelines, notebooks)
•Strong knowledge of PySpark / Spark SQL
•Experience with Azure Data Factory or Fabric Data Pipelines, Azure Data Lake Storage / OneLake
•SQL skills and experience working with large datasets
•Familiarity with Delta Lake / Lakehouse architectures
•Experience with CI/CD and DataOps practices (Azure DevOps or GitHub)
Nice to have
•Experience with Azure Databricks
•Knowledge of Terraform or Bicep
•Experience with Microsoft Purview or data governance tools
•Azure Data certifications (DP-203, DP-600, DP-700)
Conditions
No conditions stated in the posting.

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