Senior Data Engineer (Azure, Databricks , Python) k/m/*

Join a global technology team delivering innovative, AI-driven solutions supporting tax services for one of the world’s leading professional services organizations. You will work on large-scale data platforms and modern cloud-based architectures, collaborating with cross-functional teams across engineering, tax, and business domains.

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Work both independently and in close collaboration with others in the team
• Communicate clear instructions to team members and help manage the flow of day-to-day operations
• Communicate with the client regularly
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows