Data Engineer (all genders)

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:

1. Supply functions to identify unmatched money-for-value offers from our suppliers with ease.
2. Markets function to uncover unique needs and preferences of local customers and differing market landscapes to deepen customer relationships.
3. 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 WE’D LOVE YOU TO DO (AND LOVE DOING)

1. 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.
2. Guide and support business users to identify their data needs.
3. Transform business challenges into technical requirements.
4. Keep-it-simple approach, with the right amount of foresight in designing efficient and flexible data products.
5. Redesign or deprecation of legacy data models.
6. Business acumen and a strategic approach to reporting and stakeholder management.
7. Start-with-yes mindset, while willing to challenge the status quo when necessary in pursuit of excellence and continuous improvement.
8. Foster an inclusive & diverse team environment.

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 themselves.

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:

1. Databricks
2. OOP with Python
3. AWS
4. 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, 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
• 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

Please note that all applications must be completed using the online form - we do not accept applications via email.

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.