Data Engineering Analyst | Azure Data Platform

Role Overview

We are looking for a Data Engineering Analyst to work on building, evolving, and maintaining modern data solutions in the Microsoft Azure ecosystem. This position will have practical involvement in the development of scalable pipelines, data processing, and transformation, using technologies such as Azure Databricks, PySpark, and SQL.

What You Will Do

Develop, maintain, and evolve data pipelines and solutions using Microsoft Azure technologies, implement and optimize data ingestion, transformation, and availability processes, develop solutions using Azure Databricks, PySpark, and SQL, and investigate and solve incidents.

Why It Might Be a Fit

You will have the opportunity to work with cutting-edge Microsoft technologies, participate in global projects, and collaborate with multidisciplinary teams to drive innovation and generate value for our clients.

Requirements

• advanced English for global work environment
• solid experience with Azure Databricks in end-to-end data engineering projects
• solid knowledge in PySpark and SQL applied to pipeline development and optimization
• practical experience with dimensional modeling and Star Schema
• experience with Medallion Architecture in implemented solutions
• knowledge in Azure Data Factory (ADF), Azure Synapse Analytics, and Microsoft Fabric
• domain of ETL/ELT processes, data ingestion, transformation, and availability
• strong analytical, troubleshooting, and technical autonomy capabilities
• knowledge of Kusto Query Language (KQL), including Extents and Joins
• experience with Azure DevOps (ADO) for demand management and tracking
• advanced knowledge in T-SQL, including query optimization, indexing strategies, profiling, and performance analysis
• experience with Microsoft Fabric in production environments
• knowledge of data quality, governance, and performance best practices
• Microsoft certifications related to Azure Data, Microsoft Fabric, or Data Engineering

Benefits

• meal vouchers or food allowance
• multibenefit card (up to Senior Consultant)
• medical and dental insurance
• certifications and training
• life insurance
• private pension
• Avababy: pregnancy follow-up and kit for new parents and mothers
• participation in company results
• Wellhub
• childcare allowance
• career mentoring
• birthday off policy (one day off in the month of your birthday)
• wellness sessions
• corporate vehicle
• parking
• fuel allowance for managerial positions