Data Engineer

Data Engineer

Aon is in the business of better decisions At 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, diverse team, and we are passionate about helping our colleagues and clients succeed. Specifically within Commercial Risk Solutions we offer risk advisory, risk transfer and structured solutions that help organisations and individuals identify, quantify and manage their risk exposure through insurance.

This is a flexible role open to work both virtually and in a hybrid working model from our Kraków office and is offered on a full-time employment contract.

What The Day Will Look Like

This role will provide the candidate an opportunity to deliver enterprise-scale data workloads following a data lakehouse architecture on a modern cloud-based data stack for our new Commercial Risk Solutions Ecosystem. These data workloads represent strategic feeds to support our BI/Analytics solutions that are essential to the value proposition of our ecosystem.

Responsibilities Of This Role Include

• Cross-functional Team: Work within a cross-functional Agile team alongside Product Owner, Data Architect and Data Analysts to deliver on release goals for a global program
• Data Workload Design: Design scalable and efficient data workloads architectures that integrate our transactional systems with a new lakehouse data model.
• Data Integration: Develop, test and maintain data pipelines (ETL) for integrating diverse data sources into a unified format embedding best practices and standards.
• Data Management: Manage and optimize data to ensure efficient data storage, retrieval, and processing.
• Data Quality Management: Implement automated data quality checks and ensure data integrity throughout the migration process.
• Documentation: Create and maintain comprehensive documentation for data processes, ensuring knowledge transfer, observability and supportability.
• Performance Monitoring: Monitor and optimize data performance to meet defined service-level agreements.
• Troubleshooting: Identify and resolve data-related issues in a timely manner, collaborating with relevant teams.

Aon has transitioned to a product-oriented model and is investing in capabilities like never before. This role will give the chosen candidate a unique opportunity to shape the product and data delivery model for our Commercial Risk Ecosystem to drive significant revenue and efficiency opportunities across all countries where Aon operates.

Skills And Experience That Will Lead To Success

• Advanced Technical Skills:
• In-depth knowledge in programming languages such as Python incl. Spark/Scala.
• Experience with ETL tools and lakehouse architectures (3+years) through Databricks, Apache SparkSql and similar
• Strong SQL skills for data manipulation and querying Pipeline efficiency optimization skills
• Hands on experience with Agile technical practices, source versioning and Agile project management tools (Azure Repos, GitLab, Azure DevOps, Jira, Confluence, other)
• Database Knowledge: Familiarity with relational and non-relational databases (Oracle, MSSQLServer).
• Agile planning skills – Kanban and Scrum release/sprint planning.
• Problem-Solving: Proven ability to solve complex data engineering challenges and optimize system performance.
• Good communication and interpersonal skills to collaborate effectively with team members and stakeholders
• College degree in STEM-related discipline.
  

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