Data Engineer (all genders)
Data Engineer (all genders)
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Job Description
THE ROLE & THE TEAM
As a Data Engineer (all genders) in the Zalando Offprice Data Platform Team you will support the functions of supply content production outlets and markets. You will be responsible for driving the design development maintenance testing and improvement of data processes and the resulting data products.
You will work closely with a diverse set of stakeholders developing a comprehensive understanding of their daily business operations and acquiring valuable business insights.
You will leverage your knowledge and communication skills to transform business needs into refined data requirements creating adaptable and scalable data products that cater to evolving business demands.
You ensure stakeholders access pertinent information to guide their business decisions enhancing customer experiences to the optimum level. This means you create data products that for example enable:
Supply functions to identify unmatched money-for-value offers from our suppliers with ease.
Markets function to uncover unique needs and preferences of local customers and differing market landscapes to deepen customer relationships
CCS to connect written and creative content with the needs and preferences of our customers to cultivate customer engagement and loyalty to the Zalando Lounge brand.
The technical scope covers large-scale batch processing pipelines data modelling Data Warehouses ETL data analysis distributed low-latency databases Databricks (Spark) and Airflow as an orchestration / scheduling tool. You will be using state of the art tools.
WHAT WED LOVE YOU TO DO (AND LOVE DOING)
Provide the departments most critical set of data infrastructures like large-scale ETL processes DWHs stream and batch processing pipelines and large-scale high-throughput/low-latency data stores
Guide and support business users to identify their data needs
Transform business challenges into technical requirements
Keep-it-simple approach with the right amount of foresight in designing an efficient and flexible data products
Redesign or deprecation of legacy data models
Business acumen and a strategic approach to reporting and stakeholder management
Start-with-yes mindset while willing to challenge the status quo when necessary in pursuit of excellence and continuous improvemen
Foster an inclusive & diverse team environment
WED LOVE TO MEET YOU IF
A minimum of 3 years of professional experience in data engineering is required preferably in a fast-paced environment. Experiences in data analytics are considered a big plus.
Solid experience in requirements engineering. You are the one person who will get to know what information needs business people have before they know themself
Strong communication and stakeholder management skills
Experience in designing implementing and deploying data processing pipelines in a production environment using SQL and Python.
Hands on experience with PySpark and Airflow.
Experience with the following tools and technologies is a nice to have:
Databricks
OOP with Python
AWS
Git
You have a passion for data and thrive on collaborating with business partners to devise impactful data solutions. Your keen interest lies in delving deeper into uncovering customer needs even those that may not be immediately apparent all while eagerly pursuing to engineer efficient and resilient data products.
OUR OFFER
Zalando provides a range of benefits heres 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
Two paid volunteering days a year
In a 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
Relocation assistance available (subject to prior agreement)
Family services including counseling and support
Health and wellbeing options (including Gympass)
Mental health support and coaching are available
Drive your development through our training platform and biannual peer-to-peer review
Learn all about Zalando and our values here: note that all applications must be completed using the online form - we do not accept applications via email.
Employment Type
Full-Time
