Data Engineer ZMS Audiences (all genders)
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Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
ABOUT THE TEAM
Zalando Marketing Service (ZMS) stands for anew era of marketing in e-commerce.The company helps partners to shape love brands create strong customer relationships and accelerate their business byintegrating data-infused and inspirational marketing.ZMSenables fashion beauty and lifestyle partners to engage with 50 million active customers across 25 European markets on Zalando and beyond and provides access toexclusive fashion and lifestyle audiences.Based on deep customerinsightssmart marketingtoolsassortment and content creationexpertise across >50K campaignsZMS drives the marketing and sales impact of its partners seamlessly along the path to purchase from brand awareness to consideration and conversion.
Team Audiences is responsible for building and maintaining our customer segmentation platform. We leverage advanced data processing techniques and custom machine learning solutions to enhance the precision and impact of the targeted marketing campaigns at Zalando Marketing Services.
As a data engineer you will be part of the core team that designs develops and operates our segmentation platform. The technical scope covers large-scale batch processing ETL managing cloud resources and data analysis.
INCLUSIVE BY DESIGN
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.
- Our Diversity & Inclusion strategy: Employee Resource Groups:
WHAT WED LOVE YOU TO DO (AND LOVE DOING)
Collaborate with a cross-functional team of Engineers Product Managers Analysts and Applied Scientists to ideate design and build our audience builder platform.
Refine and evolve our batch-processing pipelines ensuring efficiency and scalability.
Own your code and participate in operational duties including monitoring and maintaining service health and performance.
Contribute to maintaining code quality and best practices including active participation in code reviews.
Contribute to system design and help us build robust data systems.
WED LOVE TO MEET YOU IF:
You have some experience in building and operating data processing pipelines at scale. We currently use Airflow as our scheduler and Spark as our processing engine.
You have a solid foundation in software engineering and are comfortable writing clean testable and performant code.
You have hands-on experience with a public cloud provider (AWS Azure GCP) and are comfortable deploying to container-first CI/CD pipelines.
You are proficient in SQL Python and Scala/Java.
You are invested in data quality. Concepts like data lineage governance and privacy are not just buzzwords but are crucial to your professional ethos.
If youre excited about this role but your experience doesnt align perfectly with our tech stack we encourage you to apply anyway. We value data processing and architecture expertise over specific tools and frameworks.
OUR OFFER
Zalando provides a range of benefits heres an overview of what you can expect. Learn all about Zalando and our values here: 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% 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 to start (1/year until 30)
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
Please note that all applications must be completed using the online form - we do not accept applications via email.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
