Data Engineer

Requirements

• Proven experience in developing and maintaining secure and efficient data pipelines using technologies such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, Azure SQL
  
• Strong programming skills and orientation in languages such as PySpark and SQL
  
• Design, implement and optimise processes in SQL, functions, stored procedures to meet data analysis and processing needs
  
• Ability to collaborate with data scientists and other data engineers to ensure data quality and integrity
  
• Implement BI modelling solutions to support data-driven decision making
  
• Monitor and improve the performance of ETL and ELT data transformation processes
  
• Experience in projects with new data architectures geared towards the Cloud and supported by systems such as Lakehouses
  
• Following the good practices defined for each technology and a critical sense for improvement
  
• Sense of responsibility in responding to teams and hierarchies
  
• Consultancy-orientated attitude
  
• English Level: C1
  
  

• Knowledge of other technologies such as SQL Server, SSIS, SSAS, SSRS, more geared towards on-premise systems.
  
• Other technologies adjacent to data such as Azure Logic Apps, Functons, Key Vault, Log analtycs, etc. are highly valued
  
• Ability to analyse project needs from a technical perspective
  
• Implementation of other non-engineering activities such as modelling and visualisations
  
• Knowledge of PowerBI (semantic modelling and DAX) is highly valued
  
• Knowledge of other technologies such as Snowflake, DBT, Airflow or other Cloud Providers is valued
  
• Knowledge of DevOps and CI/CD practices for data pipelines