Principal Data Engineer - Data Management (all genders)

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

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

• Play a key role in solution designs, supporting compliant and trustful data analytics. Consistently evolve solutions, facilitating short-term delivery towards a long term architecture vision.

• Closely cooperate with multiple different stakeholders eg from data, business engineering, information security and law. Represent Data Management as a solution architect.

• Conduct and contribute to deep-dive architecture and solution reviews for data initiatives.

• Provide compliant infrastructure at scale, allowing data builders to efficiently analyze data and develop analytical data products.

• Support the engineering teams in delivering, managing roll-outs, related migrations and reducing technical debt.

• Make sure that the data management services provide high availability, reliability and performance at scale while running cost efficiently with a minimum operational overhead.

• Drive innovations through benchmarking and selection of data technologies and best practices. Cooperate with technology vendors to operationalize and improve their services.

• Be an active member of the Principal Engineering community and contribute to data engineering best practices, (meta-) data management standards, and knowledge sharing.

WE'D LOVE TO MEET YOU IF