Software Engineer - Data Infrastructure (all genders) at Zalando SE
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

17 Sep, 25

Salary

0.0

Posted On

18 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

INCLUSIVE BY DESIGN

At Zalando, our vision is to be inclusive by design. And this vision starts with our hiring - we do not discriminate on the basis of gender identity, sexual orientation, personal expression, ethnicity, religious belief, or disability status. You are welcome to leave out your picture, age, or marital status from your application. We only assess candidates on their qualifications and merit.
We want to provide you with a great candidate experience. Feel free to inform us of any accommodations you may need, so we can best support you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://corporate.zalando.com/en/our-impact/dobetter-our-diversity-and-inclusion-strategy
Our employee resource groups: https://corporate.zalando.com/en/our-impact/our-employee-resource-groups

Responsibilities

THE ROLE & THE TEAM

As a Software Engineer in our central Google Data Platform team, you will play a critical role in helping maintain and optimise our data infrastructure, specifically focusing on improving our Google Cloud Platform setup. You’ll work alongside experienced engineers to ensure our cloud setup is and remains reliable, performant, and cost-effective.

WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Work within Zalando’s central data infrastructure team, responsible for mission-critical services across the entire Zalando group, as the subject matter expert
Improve the current deployment and configuration repository
Monitor system health and performance metrics
Work closely with data engineers and other stakeholders to understand their requirements and provide technical support
Collaborate with the team to improve our overall data engineering practices and standards
Participate in the central 24/7 team

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