Talent ETL Data Engineer

About Us

We require a seasoned ETL Data Engineer with proficient knowledge of Talend ETL (senior-expert level) who thrives in a complex data environment.

We’re looking for a hands‑on engineer to drive large‑scale data integration, transformation and quality initiatives across critical systems.

This role is ideal for someone who enjoys solving data challenges end‑to‑end — from deep‑dive analysis to industrialised, production‑ready pipelines.

Role Details

• Title: Talent ETL Data Engineer
• Salary: >130k + Benefits
• Location: Geneva, Switzerland
• Work Policy: Hybrid – 3 days onsite
• Languages: French Fluent and German (B2+)

The Role:

• Designing, building and optimising ETL workflows and data applications with a strong focus on performance, scalability and robustness.
• Leading full data recovery cycles: extraction, transformation, cleansing, normalisation, enrichment, validation and traceability.
• Implementing and maintaining industrialised Data Quality frameworks: rule definition, automated controls, anomaly detection, KPI monitoring and deviation management.
• Creating and maintaining clear, structured technical documentation, including business rules, mappings and processing chains.
• Executing and automating technical and functional tests, enhancing the test library and continuously improving data pipelines and processes.

The Experience:

• 5+ years of experience in data engineering, ideally within migration, remediation or data quality‑heavy environments.
• Strong, proven expertise in Talend ETL for complex data transformation, cleansing and system‑to‑system integration.
• Solid knowledge of relational databases: DB2, Oracle, SQL Server, PostgreSQL.
• Familiarity with Git and CI/CD pipelines (Jenkins is a plus).
• Bonus points for experience with Talend ESB, MDM or Data Quality modules.
• Domain knowledge in insurance is an advantage but not required.