Senior Data Engineer

You will design and operate the tools and data storage that power our software and AI research, working with identity documents, biometric data, and verification records. You'll play a key role in designing and building our next-generation data lake, shaping its architecture from the ground up and bringing technical leadership and ownership to the team.

Responsibilities

• Define and own data storage and data management architecture for software and AI/ML workflows
• Develop and maintain tools and services that AI & ML R&D teams and engineering teams rely on, including workflow orchestration platforms and test campaign infrastructure
• Manage and analyze large data volumes
• Set up and maintain backend APIs and services that provide reliable and secure internal data access
• Operate and evolve the platform infrastructure (CI/CD, containerization, deployments) with a strong focus on quality
• Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization
• Collaborate closely with internal stakeholders (ML teams, product design and development, QA, devops) in an agile environment

Requirements

• Application development in Python (tooling, services, data scripts, packaging)
• API frameworks and REST APIs (FastAPI/Django REST or equivalent)
• Automated testing with pytest; strong quality and coverage mindset
• SQL databases: solid knowledge of PostgreSQL and MariaDB (modeling, query writing, migrations, basic performance tuning)
• Data storage: design and operation of data storage solutions, including S3-compatible object storage (Ceph/Rook)
• Docker and Kubernetes: containerization best practices and cluster deployments
• Helm and ArgoCD experience is a significant advantage
• Identity and access management: Keycloak or equivalent SSO/IAM solutions
• Search & analytics: OpenSearch or equivalent
• CI/CD: GitLab CI, deployment automation (Ansible, ArgoCD)
• Linux day-to-day administration and tooling (shell, security, permissions, networking)
• English required

Benefits

• Access to mental health platform nilo including 1on1 sessions
• Access to Udemy training platform with unlimited content and certification
• Support on equipment for remote work
• Flexible working hours
• Regular onsite gatherings, internal initiatives and summer parties
• Paid special leave days
• Workcation possibilities