Job Title- Senior Data EngineerPosition type- Full TimeWork Location-BangaloreWorking style- HybridPeople Manager role: NoRequired education and certifications critical for the role- Any Graduate or Post-Graduate (full time)Required years of experience – Minimum 7+ years of relevant experienceAbout the RoleThe Senior Data Engineer will be a key contributor to the Altair modernization program, working on the Azure-based data architecture layer built on Databricks. You will design and develop scalable data pipelines that support reinsurance analytics, Property & Casualty loss ratio calculations, and end-to-end workflow automation. As an individual contributor, you will work independently on complex data engineering challenges, collaborate with cross-functional teams including Solution Architects, Product Owners, and Business Analysts, and help establish best practices for the team. This role requires strong technical skills, the ability to understand business requirements in the reinsurance domain, and a passion for building reliable, scalable data solutions.Aon is in the business of better decisionsAt Aon, we shape decisions for the better to protect and enrich the lives of people around the world.As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.What the day will look likeData Pipeline Development & IntegrationDesign, develop, and maintain scalable data ingestion, transformation, and integration pipelines on Databricks using PySparkBuild robust ETL/ELT workflows to process structured and unstructured data from multiple upstream systems (Meridian, email, Workflow Studio, AB Connect placements)Implement data imports and transformations using agreed ingestion patterns and Unity CatalogDevelop data flows aligned with RAPID technology stack standards and design patternsSupport the transition of Altair capabilities to modern Azure-based architectureData Modeling & QualityDevelop and maintain data models and schemas that support reinsurance business processes and analyticsImplement data quality frameworks, validation processes, and data governance standardsEnsure data lineage, security, and compliance across all data assetsDesign transformations that support Property & Casualty loss ratio calculations and statistical analysisBusiness Requirements & Domain UnderstandingCollaborate with business stakeholders, SMEs, and Business Analysts to understand reinsurance business processesTranslate business requirements into technical data solutions with clear understanding of domain contextAnalyze and resolve moderately complex data challenges related to reinsurance workflowsPartner with Product Owners and Project Managers to deliver trusted data assetsTechnical Collaboration & Best PracticesWork closely with Lead Data Engineers, Solution Architects, and QA Engineers to deliver high-quality solutionsParticipate in code reviews and promote data engineering best practicesContribute to the development of reusable components and design patternsSupport knowledge transfer activities to build in-house capabilities and reduce vendor dependencyCreate technical documentation and operational proceduresAI & AutomationPartner with AI specialists to incorporate Azure OpenAI and LLM capabilities into data solutionsSupport development of intelligent data intake capabilities that trigger workflows automaticallyContribute to AI-assisted development approaches and automation initiativesPlatform Optimization & SupportMonitor and optimize pipeline performance, reliability, scalability, and cost efficiency on AzureTroubleshoot production issues, perform root-cause analysis, and implement sustainable solutionsImplement CI/CD processes and automation for data engineering workflowsIdentify opportunities for continuous improvement across the data ecosystemAbout the ProjectYou will be joining the RAPID team working on the Altair modernization program. The initiative involves building a modern, Azure-based Workflow Studio that integrates multiple applications and enables end-to-end process custody from data intake through client deliverables in the reinsurance domain. You will work with a collaborative team including Solution Architects, Product Owners, Project Managers, QA Engineers, and reinsurance SMEs. The program is decomposing existing Altair capabilities and re-implementing them across Databricks (data layer), Workflow Studio (process layer), and Blueprint/Remetrica (analytics layer). Other existing projects in the ecosystem include Workflow Studio, Blueprint, Remetrica, and Altair manual processes.Skills and experience that will lead to successEducation & ExperienceBachelor's degree in Engineering, Computer Science, Data Engineering, Information Systems, or related field7+ years of experience in data engineering, software engineering, or big data developmentProven experience developing ETL/ELT pipelines and working with large-scale datasetsTechnical SkillsStrong hands-on experience with Databricks for building data pipelines and transformationsSolid proficiency in PySpark and Python for data processing and engineeringStrong expertise in SQL for data manipulation and analysisExperience with Azure data services (Azure Data Factory, Azure Data Lake Storage, etc.)Knowledge of Unity Catalog for data governance and metadata managementExperience with Azure OpenAI, LLM integration,



and AI-enabled data solutionsExperience with Genie Spaces/Agents or similar AI agent frameworksUnderstanding of data modeling, data quality, and data governance principlesExperience with ETL/ELT workflows and data integration patternsFamiliarity with microservices architecture and API integrationKnowledge of cloud-based data warehouses, data lakes, and up-to-date data architecturesBusiness & Analytical SkillsStrong ability to understand and translate business requirements into technical solutionsSolid analytical and problem-solving skillsUnderstanding of statistical concepts and their application in data analysisProven ability to work independently with minimal supervisionExcellent communication and stakeholder collaboration skillsAbility to handle multiple priorities in a fast-paced environmentPreferred QualificationsExperience in insurance, reinsurance, or financial services domainsUnderstanding of Property & Casualty insurance, loss ratio calculations, or reinsurance analyticsKnowledge of business process management (BPM) concepts and workflow automationPrior involvement in modernization or cloud migration programsExperience working with external vendors and distributed teamsAzure certifications (Azure Data Engineer Associate or similar)Familiarity with workflow orchestration tools (Airflow, Azure Data Factory, etc.)How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation on [email protected] values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.#LI-RK22586663

📌 Senior Data Engineer (Bengaluru)
🏢 Aon
📍 Bengaluru