Senior Data Software Engineer/ AI Agents, Azure, Spark

We are looking for an experienced Senior Data Software Engineer with strong hands-on expertise in Azure and the Spark ecosystem , primarily focused on building and maintaining data transformation pipelines. The ideal candidate should be comfortable with any Spark-adjacent technology rather than being locked into one specific flavor.

The candidate should also combine strong technical skills with leadership capability, contributing to architecture, design, development, and mentoring of engineering teams — preferably in complex enterprise or financial services environments.

Responsibilities

Lead the design, development, and optimization of scalable data engineering solutions on Azure, using Spark-based processing (Py. Spark, SparkSQL, Scala) Own end-to-end data transformation pipelines, including ingestion, transformation, storage, and analytics Work with Azure-native data services such as Data Factory, Databricks, and Synapse Support high-performance data access patterns using Cosmos DB (NoSQL API) when applicable Collaborate with data scientists, AI engineers, and product stakeholders to enable data-driven analytics and insights Mentor and guide junior engineers, setting coding standards and best practices Ensure data quality, security, governance, and performance across platforms Contribute to technical decision-making and solution architecture discussions Requirements 3+ years of experience in data engineering roles, preferably in complex enterprise or financial services environments Expertise in Azure and Azure-native data services (Data Factory, Databricks, Synapse) Proficiency in the Spark ecosystem, including Py.

Spark, SparkSQL, and Scala Spark Background in building and maintaining end-to-end data transformation pipelines covering ingestion, transformation, storage, and analytics Understanding of data quality, security, governance, and performance best practices Capability to contribute to architecture and solution design discussions Skills in mentoring engineering teams and establishing coding standards English proficiency at an Upper-Intermediate level (B2) or higher Nice to have Hands-on experience with Microsoft Fabric and One.

Lake (Delta / Open. Lake) Familiarity with Cosmos DB (NoSQL API) Knowledge of financial instruments and financial services data Exposure to AI-assisted development tools (e.g., GitHub Copilot) and awareness of industry-standard LLMs Data Science fundamentals and collaboration experience with DS teams