Data Engineer

Heute die Chancen von morgen erkennen. Ihre und unsere.

Bei Swiss Life Asset Managers bringen Sie Ihre individuellen Talente und Expertise in einem motivierten und flexiblen Arbeitsumfeld ein. Sie übernehmen ein hohes Mass an Verantwortung, meistern anspruchsvolle Herausforderungen selbstständig mit Gestaltungsspielraum und in Zusammenarbeit mit professionellen Teams.
Bei Swiss Life Asset Managers zu arbeiten, heisst Dynamik im stabilen Umfeld zu leben. Unsere Mitarbeitenden machen den Unterschied. Der Mensch zählt.
Flexible Arbeitsmodelle ermöglichen Ihnen berufliche und persönliche Ambitionen in Einklang zu bringen.

At Swiss Life Asset Managers you will contribute your own talent and expertise in a motivated and flexible working environment. You will take on a high degree of responsibility and master demanding challenges independently, with the scope to express yourself and in cooperation with professional teams.

Working at Swiss Life Asset Managers is a dynamic experience in a stable environment. Our employees make the difference. People count.
Flexible working models will enable you to reconcile your professional and personal ambitions.

The Data Engineering team at Swiss Life Asset Managers is building the next-generation company-wide data platform, with the purpose of making analytics data more available, more centralized, more secure, and better quality.

Responsibilities

We are looking for a hands-on senior/staff engineer to join the team and help deliver technical excellence for this foundational, high-impact project: participate in the team’s daily activities both with hands-on code technical contributions but also support other members of the team with your experience.

Experience

• Excellent Python skills.

• A track-record of delivering high-quality, well tested, robust code.

• Deep familiarity with modern software development workflows: linting tools, unit tests, code review, integration tests, source control, CI/CD pipelines, Docker.

• Strong opinions about technology, with the ability to compromise and build consensus.

• A proactive attitude towards refactoring and lowering technical debt.

• The ability to effectively work as part of a diverse team across geography, culture, and experience.

• Good communication skills in English, verbally and in writing.

Ideal candidates will also have experience with one or more of the following:

• Column-oriented processing libraries (pandas, polars, pySpark, etc.)

• SQL

• Snowflake

• Terraform

• Kubernetes

Ihre Benefits​
Wir unterstützen unsere Mitarbeitenden, ihre berufliche Entwicklung und Lebensgestaltung über alle Lebensphasen hinweg optimal zu gestalten. Unsere attraktiven Vorteile tragen einen Teil dazu bei. 

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