Senior Data Warehouse Engineer

Xapply

Schweiz

Remote

CHF 120.000 - 160.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Xapply is partnering to hire a Senior Data Warehouse Engineer based in Switzerland. You will design and optimize scalable data warehouses, reliable pipelines, and modern ELT processes to enable analytics and data-driven decision-making.

In this fully remote role, you will collaborate with data scientists, analysts, and engineers, transforming complex data into trusted insights and driving performance, cost efficiency, and developer productivity across a global tech platform.

Qualifikationen

  • Experience designing scalable data warehouses and ELT pipelines.
  • Proficient in cloud-based data architectures and analytics.
  • Able to collaborate with data scientists and engineers.

Aufgaben

  • Design and optimize scalable data warehouses and pipelines.
  • Develop modern ELT processes enabling analytics and decision making.
  • Improve performance, reliability and developer productivity.

Kenntnisse

Data warehousing
Performance optimization
Cloud data engineering
Team collaboration

Tools

ClickHouse
Redshift
AWS
Kafka
dbt
Prefect

Jobbeschreibung

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Warehouse Engineer based in Switzerland.

This role offers the opportunity to shape the data infrastructure supporting a high-growth technology platform focused on online security and fraud detection. You will design and optimize scalable data warehouses, reliable pipelines, and modern ELT processes that enable analytics and data-driven decision-making. Working closely with data scientists, analysts, and engineers, you will transform complex data into trusted and actionable insights. The position combines hands-on engineering with opportunities to improve performance, reliability, cost efficiency, and developer productivity. You will work with modern cloud technologies including ClickHouse, Redshift, AWS, Kafka, dbt, and Prefect. This is a strong opportunity for an autonomous data engineer who enjoys solving complex problems in a globally distributed, fully remote environment.

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