Lead Data Platform Engineer — Remote Ownership

Jobgether; Schweiz; À distance; CHF 140 000 - 170 000; Plein temps

Avantages offerts par ce poste

Fully remote work across Europe

Technical ownership of data platform

Modern technology stack (Python, Postg

End-to-end impact on product

International collaboration

Résumé du poste

Jobgether is seeking a Senior Data Engineer based in Switzerland for a fully remote, technically autonomous role. You will own the data platform architecture, build scalable ingestion pipelines, and implement batch and event-driven workflows using modern orchestration tools.

Collaboration with distributed teams and ongoing platform improvements are core expectations. You will leverage Python, PostgreSQL, dbt, and GCP to ensure data quality, lineage, and efficient delivery to downstream products,

Qualifications

• End-to-end data platform experience from design to deployment.
• Proficient in workflow orchestration with Airflow, Dagster, Prefect, or Temporal.
• GCP and dbt practical production experience.

Responsabilités

• Own data platform architecture and deployment.
• Build multi-source ingestion pipelines from APIs, files, and web scraping.
• Develop batch and event-driven workflows with orchestration tools.
• Ensure data quality, lineage, and governance across platforms.
• Maintain raw-to-curated data layers and scalable storage in GCS/dbt.
• Improve performance and reliability of PostgreSQL schemas and queries.

Connaissances

Python

SQL

PostgreSQL

GCP

dbt

Data Modeling

Formation

Bachelor's degree in CS or related field

Outils

Airflow

Dagster

Prefect

Temporal

Description du poste

Jobgether is seeking a Senior Data Engineer based in Switzerland for a fully remote, technically autonomous role. You will own the data platform architecture, build scalable ingestion pipelines, and implement batch and event-driven workflows using modern orchestration tools.

Collaboration with distributed teams and ongoing platform improvements are core expectations. You will leverage Python, PostgreSQL, dbt, and GCP to ensure data quality, lineage, and efficient delivery to downstream products,