Senior Data Engineer - Privacy Tech (All genders)
Jetzt bewerben
Senior Data Engineer - Privacy Tech (All genders)

Senior Data Engineer - Privacy Tech (All genders)

Berlin Vollzeit 54000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
Jetzt bewerben
Zalando GmbH

Auf einen Blick

  • Aufgaben: Join us as a Senior Data Engineer to enhance data protection for millions of customers.
  • Arbeitgeber: Zalando is a leading online fashion platform committed to inclusivity and innovation.
  • Mitarbeitervorteile: Enjoy 40% off fashion, hybrid work options, 27 vacation days, and wellness support.
  • Warum dieser Job: Shape the future of data privacy while collaborating with talented engineers in a dynamic environment.
  • Gewünschte Qualifikationen: 5+ years in data engineering, expertise in Spark, AWS, and strong coding skills in Scala or Java.
  • Andere Informationen: We value diversity and encourage all qualified candidates to apply.

Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.

As a Senior Data Engineer, you will contribute to the creation and delivery of software products that enable Zalando’s internal Software Engineers and Data Engineers to protect the personal data of millions of Zalando customers at rest, in use, and in transit.

As part of this critical technology team, you will play a key role in understanding the needs of our stakeholders and help shape the future of the platform. As a Software Engineer, you will be building, operating, improving, and extending the data protection platform, supporting integration with thousands of datasets within Zalando.

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

  1. Refine and evolve our data platform, ensuring efficiency and scalability.
  2. Identify and address performance bottlenecks, optimizing code and improving overall system efficiency.
  3. Write code that is modular, readable, easily testable, and maintainable.
  4. Work with senior data engineers and peers in the team to evolve the system architecture and ensure seamless integration with thousands of datasets.
  5. Contribute to improving code quality and best practices, including active participation in code reviews.
  6. Support and shape Zalando’s engineering community by sharing best practices, supporting junior team members and peers, and interviewing additional engineering talents.

YOU HAVE

  1. Over 5 years of experience in building and operating data processing pipelines at scale.
  2. Over 5 years of hands-on experience with Spark and performance tuning.
  3. Over 5 years of experience in deploying big data processing pipelines in cloud environments such as AWS EMR and Databricks.
  4. Experience with databases such as DynamoDB and Redis.
  5. Solid programming skills in Scala or Java; Golang is a plus.
  6. Strong capability to research, self-learn, and develop deep expertise in your area.
  7. Good understanding of modern data engineering practices, including data modeling, data architecture, pipeline as code, and data observability.
  8. Experience with GCP, AWS Lambda, Kafka, or AWS Kinesis (as a plus).

OUR OFFER

Zalando provides a range of benefits, here’s an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer:

  1. Employee shares program.
  2. 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners.
  3. 2 paid volunteering days a year.
  4. Hybrid working model with 60% (or more) remote per week; actual practice is up to each team to best support their collaboration.
  5. Work from abroad for up to 30 working days a year.
  6. 27 days of vacation a year (for Zalando SE).
  7. Relocation assistance available (subject to prior agreement).
  8. Family services, including counseling and support.
  9. Health and wellbeing options (including Gympass).
  10. Mental health support and coaching available.

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.

Please note that all applications from this job page must be completed using the online form – we do not accept applications via e-mail. Once reviewed, our recruiters will contact applicants via an official Zalando email address (@zalando.de).

In some cases, we also work with a selection of headhunters and agencies to fill specific roles. Please note that neither Zalando nor our recruiting partners will ask for any kind of payment to apply for a job or attend an interview.

If you have any questions about our recruitment process, please take a look at our FAQ page.

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Senior Data Engineer - Privacy Tech (All genders) Arbeitgeber: Zalando GmbH

Zalando is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Senior Data Engineers in the vibrant tech hub of Berlin. With a strong emphasis on employee growth, Zalando offers extensive benefits including a hybrid working model, generous vacation days, and opportunities for professional development, all while ensuring a commitment to inclusivity and diversity. Join us to make a meaningful impact on data privacy for millions of customers while enjoying a supportive environment that values your contributions.
Zalando GmbH

Kontaktperson:

Zalando GmbH HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Senior Data Engineer - Privacy Tech (All genders)

Tip Number 1

Familiarize yourself with Zalando's data protection initiatives and the specific technologies they use. Understanding their current challenges and how your skills can address them will help you stand out during discussions.

Tip Number 2

Engage with the Zalando engineering community on platforms like LinkedIn or GitHub. Sharing insights or contributing to discussions can showcase your expertise and passion for data engineering.

Tip Number 3

Prepare to discuss your experience with performance tuning in Spark and deploying big data pipelines in cloud environments. Be ready to provide specific examples of how you've optimized systems in the past.

Tip Number 4

Highlight your ability to mentor and support junior engineers. Zalando values collaboration, so demonstrating your commitment to fostering a positive team environment will resonate well with the hiring team.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Data Engineer - Privacy Tech (All genders)

Data Processing Pipelines
Spark Performance Tuning
AWS EMR
Databricks
DynamoDB
Redis
Scala Programming
Java Programming
Golang (plus)
Data Modeling
Data Architecture
Pipeline as Code
Data Observability
GCP Experience
AWS Lambda
Kafka
AWS Kinesis
Code Quality Improvement
Modular Code Writing
System Efficiency Optimization
Collaboration and Mentorship

Tipps für deine Bewerbung 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Tailor your application to highlight your relevant experience in building and operating data processing pipelines, especially with Spark and cloud environments.

Highlight Relevant Experience: In your CV and cover letter, emphasize your over 5 years of experience in data engineering, particularly your hands-on work with AWS EMR, Databricks, and databases like DynamoDB and Redis. Mention specific projects where you optimized performance and improved system efficiency.

Showcase Your Skills: Make sure to showcase your programming skills in Scala or Java, and any experience with Golang. Provide examples of how you've contributed to code quality and best practices, such as participating in code reviews or mentoring junior team members.

Follow Application Instructions: Ensure that you complete your application using the online form provided on Zalando's job page. Double-check that all required documents are included and that your application is submitted before the deadline.

Wie du dich auf ein Vorstellungsgespräch bei Zalando GmbH vorbereitest

Showcase Your Technical Expertise

Be prepared to discuss your experience with data processing pipelines, especially with Spark and cloud environments like AWS EMR and Databricks. Highlight specific projects where you optimized performance or addressed bottlenecks.

Demonstrate Your Problem-Solving Skills

During the interview, expect scenario-based questions that assess your ability to identify and solve performance issues. Use examples from your past work to illustrate how you approached similar challenges.

Emphasize Collaboration and Mentorship

Zalando values teamwork and community support. Share experiences where you contributed to code reviews, mentored junior engineers, or collaborated with peers to improve system architecture.

Prepare for Behavioral Questions

Be ready to discuss how you align with Zalando's inclusive culture. Reflect on your experiences working in diverse teams and how you support an inclusive environment in your workplace.

Senior Data Engineer - Privacy Tech (All genders)
Zalando GmbH
Jetzt bewerben
Zalando GmbH
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