Data Engineer

As a Data Engineer at Reply, you design and implement cloud-based data solutions using Azure to improve data accessibility and analytics. You will work with clients and internal teams to translate requirements into scalable data pipelines and analytics models. The role includes mentoring junior engineers and contributing to long-term team growth, with career progression toward technical architecture and leadership. You will tackle data challenges across integration, modeling, and secure data delivery in customer-facing engagements. This is an opportunity to shape data-driven solutions for diverse industries within a collaborative, professional environment.

• Design, develop, and maintain data pipelines using Azure Data Factory and Databricks
• Implement data models and analytics solutions using Synapse Analytics and Data Lake Storage
• Collaborate with clients to understand data needs and provide tailored solutions
• Develop and optimize ETL/ELT processes to maintain data integrity and performance
• Ensure data solutions are scalable, resilient, and secure
• Troubleshoot and resolve data-related issues
• Document technical solutions and best practices
• Mentor junior engineers and contribute to team development

• Experience in data engineering with Microsoft Azure
• Hands-on experience with Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage
• Strong Python, Scala, or SQL development background
• Understanding of data modelling and analytics solutions
• Ability to work in a customer-facing role, engaging effectively with clients and stakeholders
• Self-sufficient, with excellent problem-solving and communication skills

• strong communication
• problem-solving
• proactive approach
• Azure Data Factory
• Databricks
• Synapse Analytics