Mid & Senior Data Engineer (Insurance)

TL;DR

Mid & Senior Data Engineer (Spark/Iceberg): Designing and evolving a next-generation data platform for an insurance client with an accent on scalable data architectures and industrializing pipelines. Focus on implementing Data Lakehouse, Data Mesh, and Data Fabric patterns and ensuring operational excellence through CI/CD.

Location: Onsite in Luxembourg

Company

hirify.global, part of Accenture, specializes in the management of complex public sector IT projects, systems integration, and analytics.

What you will do

• Design, build, and enhance a scalable data platform using Spark, Apache Iceberg, Airflow, Trino, Docker, and Kubernetes.
• Develop and industrialize data pipelines applying CI/CD practices via GitHub Actions and Argo.
• Integrate key data management components such as metadata, lineage, and data dictionaries.
• Contribute to the evolution of modern architectures including Data Lakehouse, Data Mesh, and Data Fabric.
• Collaborate with platform engineering and business stakeholders to align with enterprise data strategy.
• For Senior level: Lead project activities, coordinate priorities, and take ownership of architectural decisions.

Requirements

• Degree in Computer Science, Engineering, or a related field.
• Hands-on experience with Spark (Scala or Python) and Airflow.
• Experience with Apache Iceberg, Trino, Docker, and Kubernetes.
• Knowledge of CI/CD tooling (GitHub Actions, Argo) and automation best practices.
• French: Fluency is mandatory.
• English: Comfortable working level required.
• Location: Must be able to work onsite at the client's premises in Luxembourg.
• Experience: Minimum 3 years for Medium level, 5+ years for Senior level.

Culture & Benefits

• Flexible approach to support specific work/life needs.
• Collaborative environment focused on learning and relationship-building.
• Opportunity to work on high-impact projects for a strategic insurance sector client.