Assignment Overview
We are looking for a System Developer with AI and data engineering expertise
What you will work on
- Organize data flows, access, transformation, and quality to provide robust foundational data for AI/HR systems with full traceability
- Build ELT pipelines (HR sources → Lakehouse / DLH → consumption) with scheduling, error handling, and monitoring
- Perform data modeling, ensure data quality, manage metadata and lineage, including documentation and traceability
- Implement access control, logging, and masking/pseudonymization in collaboration with information security teams
- Collaborate with AI developers on feature data, embeddings, and consumption patterns
- Transfer knowledge to the regular team via workshops, pairing, and reviews of pipelines, data contracts, and runbooks
- Establish data contracts and change management for schema, quality rules, update frequency, and ownership
- Implement quality gates and automated data quality tests before data is used for training or inference
- Set up monitoring of production data flows (freshness, volume deviations, error rates) with alerts and remediation procedures
- Ensure traceability/data lineage and auditability (data → pipeline version → consumption)
- Ensure least-privilege data access and correct handling of sensitive personal data (GDPR compliance)
What you bring
- Experience in system development with a focus on AI and data pipelines
- Hands-on experience with ELT/ETL pipelines and scheduling frameworks
- Strong understanding of data quality, metadata management, and data lineage
- Knowledge of GDPR and secure handling of sensitive data
- Ability to work independently and collaborate with AI developers and data teams
- Excellent problem-solving, analytical, and documentation skills
- Fluent in English
