Auf einen Blick
- Aufgaben: Join us as a Data Engineer to enhance our data protection platform and optimize performance.
- 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 protection while collaborating with talented engineers in a dynamic environment.
- Gewünschte Qualifikationen: 3+ years in data processing, strong Scala/Java skills, and experience with cloud environments required.
- Andere Informationen: We value diversity and encourage all qualified candidates to apply, regardless of background.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
As a 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. 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)
- Refine and evolve our data platform, ensuring efficiency and scalability.
- Identify and address performance bottlenecks, optimizing code and improving overall system efficiency.
- Write code that is modular, readable, easily testable, and maintainable.
- Work with senior data engineers and peers in the team to evolve the system architecture and ensure seamless integration with thousands of datasets.
- Contribute to improving code quality and best practices, including active participation in code reviews.
MINIMUM REQUIREMENTS
- You have over 3 years of experience in building and operating data processing pipelines at scale.
- You have over 3 years of hands-on experience with Spark and performance tuning.
- You have over 3 years of experience in deploying big data processing pipelines in cloud environments such as AWS EMR and Databricks.
- You have experience with databases such as DynamoDB and Redis.
- You have solid programming skills in Scala and Java; Golang is a plus.
- You have strong capability to research, self-learn, and develop deep expertise in your area.
- You have a good understanding of modern data engineering practices, including data modeling, data architecture, pipeline as code, and data observability.
- You have 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.
- Employee shares program.
- 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners.
- 2 paid volunteering days a year.
- Hybrid working model with 60% (or more) remote per week; actual practice is up to each team to best support their collaboration.
- Work from abroad for up to 30 working days a year.
- 27 days of vacation a year (for Zalando SE).
- Relocation assistance available (subject to prior agreement).
- Family services, including counseling and support.
- Health and wellbeing options (including Gympass).
- Mental health support and coaching available.
At Zalando, our vision is to be inclusive by design. 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.
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Data Engineer - Scala/Java (All Genders) Arbeitgeber: Zalando GmbH
Kontaktperson:
Zalando GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Engineer - Scala/Java (All Genders)
✨Tip Number 1
Familiarize yourself with Zalando's data protection platform and its integration with various datasets. Understanding the specific challenges and requirements of their system will help you demonstrate your knowledge during the interview.
✨Tip Number 2
Brush up on your skills in Scala and Java, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that utilize these languages to showcase your expertise.
✨Tip Number 3
Network with current or former Zalando employees on platforms like LinkedIn. They can provide valuable insights into the company culture and the specifics of the Data Engineer role, which can help you tailor your approach.
✨Tip Number 4
Stay updated on the latest trends in data engineering, especially around cloud environments like AWS EMR and Databricks. Being able to discuss recent developments or best practices in your interview will set you apart from other candidates.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Engineer - Scala/Java (All Genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position at Zalando. Understand the key responsibilities and required skills, especially focusing on Scala, Java, and data processing pipelines.
Highlight Relevant Experience: In your application, emphasize your experience with Spark, AWS EMR, Databricks, and any other relevant technologies mentioned in the job description. Provide specific examples of projects where you have successfully built and operated data processing pipelines.
Showcase Your Skills: Clearly outline your programming skills in Scala and Java. If you have experience with Golang or other relevant tools like Kafka or AWS Kinesis, make sure to mention that as well. This will help demonstrate your fit for the role.
Follow Application Instructions: Ensure that you complete your application using the online form provided on Zalando's job page. Remember, they do not accept applications via email, so be sure to submit everything through their official process.
Wie du dich auf ein Vorstellungsgespräch bei Zalando GmbH vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Scala and Java in detail. Highlight specific projects where you've built or optimized data processing pipelines, especially using Spark. This will demonstrate your hands-on expertise and understanding of the technologies relevant to the role.
✨Understand Zalando's Data Needs
Research Zalando's data protection initiatives and be ready to discuss how you can contribute to their goals. Understanding the company's mission to protect customer data will show your alignment with their values and your commitment to the role.
✨Prepare for System Design Questions
Expect questions about system architecture and data integration. Be ready to explain how you would refine and evolve a data platform, addressing performance bottlenecks and ensuring scalability. Use examples from your past experiences to illustrate your thought process.
✨Emphasize Collaboration and Code Quality
Zalando values teamwork and code quality. Discuss your experience with code reviews and how you've contributed to improving best practices within your team. Highlight your ability to work with senior engineers and peers to enhance system architecture.