Data Engineer - NextGen bei ParentPay Group

• ParentPay Group is a Europe’s leading software product company and UK’s largest education technology business. We are on a mission to bring next-generation innovation to positively impact on the lives of millions of parents, teachers, and students every day in over 49 countries.  
• Our market leading products use cutting edge cloud-based technology to streamline school processes, including secure web and mobile apps that enable secure online payments for school items such as meals, trips, clubs and uniform, improve parental engagement, simplify meal management and - through our flagship product SIMS - collect and manage a database of student information and core school operations. 
• ParentPay Group’s new offices in Pune are a fantastic tech hub for those looking to boost their careers in software product development.

• Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, and other Azure services.
  
  
• Build and manage data lake and data warehouse solutions (e.g., Azure Data Lake, Synapse Analytics).
  
  
• Optimize data storage, retrieval, and performance across structured and unstructured data sources.
  
  
• Collaborate with data scientists, analysts, and business users to enable self-service BI and advanced analytics.
  
  
• Implement data governance, data quality, and security best practices across all data solutions.
  
  
• Automate processes for monitoring, logging, and performance tuning.
  
  
• Work in an Agile/DevOps environment to support CI/CD pipelines for data solutions.
  
  

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred).
  
  
• Proven experience as a Data Engineer with strong expertise in Microsoft Azure ecosystem.
  
  
• Hands-on experience with:
  
  
  • Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake (Gen2)
    
    
  • SQL, Python, PySpark, or Scala
    
    
  • Azure DevOps / Git for CI/CD
    
    
• Strong knowledge of data modeling, data warehousing, and ETL/ELT concepts.
  
  
• Experience with performance optimization and big data processing frameworks.
  
  
• Familiarity with data governance, compliance, and security practices in cloud environments.
  
  

• SQL query tuning
• SQL monitoring
• SQL Data warehousing
• SQL Indexing
• Star Schema Design.
• ETL processes
• Data modelling
• Azure Data Factory
• Azure Storage Accounts
• Blob Storage