THE ROLE & THE TEAM
In Zalando ZEOS (B2B Logistics), we aim to provide our partners with a profitable fulfillment experience, not only within Zalando but across multiple European marketplaces. We provide a holistic approach to delivering the optimal fulfillment solution to meet our partners’ needs by unifying these services under a single umbrella, and we see that Data and Analytics will play a pivotal role in enabling data-driven insights and decision-making for our partners and business stakeholders.
As a (Mid/Senior) Data Engineer at ZEOS, you will work closely with Software Engineers, Applied Scientists, and BI & Data Analysts. You will play a key role in defining the department’s data strategy, and helping build the next-generation Data & Analytics platform and Data Science solutions. Above all, your work will change the way our partners experience logistics services.
WHY YOU SHOULD BE INTERESTED…
You will be joining a relatively new and growing team of Applied Scientists and Data Engineers spearheading Applied Science, Data Engineering & Analytics within the Connected Network department. We trust your entrepreneurial capabilities!
Work in a multi-functional setup to identify and support our partner’s key needs and use cases and collaborate with engineering and applied science teams to develop our long-term data-oriented solutions for our partners.
Share knowledge, promote clean data engineering methodologies and mentor colleagues. You’ll be a technical leader in the department when it comes to Data Engineering!
Design, implement and maintain ETL pipelines feeding downstream applications that will help our partners make informed decisions about their stock, their growth options, and their monetization opportunities.
WE’D LOVE TO MEET YOU IF…
You are a true team player who believes in the power of a group rather than individuals
You have 4+ years of Data Engineering focused experience
You are experienced in distributed data processing using Spark SQL and PySpark (Databricks is a plus)
You are proficient with Python with passion for writing clean, modular and maintainable production code
You are knowledgeable in SQL, Relational or MPP data warehouses, ETL design and development, pipeline orchestration, data modeling, and data quality testing methods
You have experience building data solutions on cloud, preferably AWS
Excellent verbal and written communication skills with a detail-oriented and self-starter mindset. You value a diverse and fast-paced business environment and hence balance your passion for big data with pragmatism to drive actions and impact
Nice to have:
Airflow
Git, CI/CD and DevOps
Streaming or near real-time data processing
Experience in e-commerce
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 Lounge by Zalando, discounts from external partners
2 paid volunteering days a year
Hybrid working model with up to 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 for full-time employees
Relocation assistance available (subject to prior agreement)
Family services, including counseling and support
Health and wellbeing options (including Wellhub, formerly Gympass)
Mental health support and coaching available
Drive your development through our training platform and biannual peer-to-peer review
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you’re great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity & inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
Please note that all applications must be completed using the online form - we do not accept applications via email.
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