ARHS Group, part of Accenture, is looking for a Senior / Medium Data Engineers to join the team of one of our strategic clients in the insurance sector. You will work onsite at the client’s premises and contribute to the design and evolution of their next-generation data platform.
This role is ideal for a Data Engineers who want to work with modern data architectures, build scalable data platforms, and collaborate closely with cross-functional teams.
We are hiring two levels:
* Medium Level: 3+ years of experience
* Senior Level: 5+ years, with strong ownership, coordination skills, and project-driven mindset
THE WORK:
* Design, build, and enhance a robust and scalable data platform using technologies such as Spark, Apache Iceberg, Airflow, Trino, Docker, Kubernetes.
* Develop and industrialize data pipelines, applying CI/CD practices (GitHub Actions, Argo, automated testing, observability).
* Support internal teams in creating, optimizing, and operationalizing data workflows.
* Integrate key data management components: metadata, lineage, data dictionaries.
* Contribute to the evolution of modern data architectures (Data Lakehouse, Data Mesh, Data Fabric).
* Participate in sprint planning, technical documentation, and project follow-up.
* Collaborate with platform engineering, business stakeholders, and cross-functional teams to ensure alignment with enterprise data strategy.
Additional expectations for Senior level:
* Lead and coordinate project activities and priorities.
* Drive discussions with stakeholders and ensure timely delivery of platform evolution initiatives.
* Take ownership of architectural decisions and propose long-term improvements.
Onsite at client site: This role requires an onsite presence with our clients and partners to support project delivery and strengthen client relationships.
Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
HERE’S WHAT YOU’LL NEED:
* Degree in Computer Science, Engineering, or a related field.
* Hands-on experience with Spark (Scala or Python) and Airflow.
* Solid understanding of modern data architectures (Data Lakehouse, Data Mesh, Data Fabric).
* Experience with Apache Iceberg and Trino (or similar storage/query layers).
* Strong containerization skills (Docker, Kubernetes).
* Good knowledge of CI/CD tooling (GitHub Actions, Argo).
* Familiarity with testing, versioning, observability, and automation best practices.
* Experience with metadata management or data governance is an asset.
* Fluency in French (mandatory)
* Comfortable working in English.
* Strong communication and collaboration abilities.
* Ability to present ideas clearly to technical and non-technical audiences.
* Ownership mindset and ability to work autonomously.
For Medium Level:
* Minimum 3 years of experience in Data Engineering or related roles.
For Senior Level:
* Minimum 5 years of experience + proven ability to lead/co-coordinate data platform projects.
* Strong organizational, prioritization, and project-management mindset.