Mid & Senior Data Engineers (m/f)

About the Position

ARHS Group, part of Accenture, is looking for Mid & Senior Data Engineers (m/f) 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 Data Engineers who want to work with modern data architectures, build scalable data platforms, and collaborate closely with cross-functional teams.

Responsibilities

Mid Level

• 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.

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.

Requirements

• 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.

Experience

Mid Level

• Minimum 3 years of experience in Data Engineering or related roles.

Senior Level

• Minimum 5 years of experience + proven ability to lead/co-coordinate data platform projects.
• Strong organizational, prioritization, and project-management mindset.

We Offer

• Full-time position
• Onsite work with our clients and partners
• Opportunity to work with modern data architectures and scalable data platforms

About the Company

Arηs Group, part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation, and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science, and security management to machine learning, cloud, and mobile development.

Arηs Group was acquired by Accenture in July 2024.

As part of our security and compliance procedures, candidates will be required to undergo a criminal background check prior to employment.