ABOUT THE ROLE & TEAM
The Product Data Quality team is looking for a talented data engineer who has a passion for building applications at the intersection of data engineering, software development and data science. Our team consists of a great mix of Data and backend Software Engineers, Product Managers and Applied Scientists that are tasked with gaining insights into our assortment of hundreds of thousands of live products using AI, and then bringing these insights to our customers at scale in new and engaging ways.
As a member of the Product Data Quality team, you will collaborate closely with your engineering colleagues, including those in product and applied science teams, to design, build, deploy, and monitor cloud-based data processing architectures. These systems intelligently gather machine learning insights from multiple independent data sources and combine them to enhance our product information in a scalable and maintainable manner. In addition to data engineering pipelines, the team also develops and maintains cloud-based microservice architectures, for example a flexible rules engine and an image customization service. We work with a leading edge technology stack composed of Databricks, Python, Airflow, Kotlin, Kubernetes, Elastic Search, PostgreSQL and other AWS services amongst others - check our Tech Blog for more information on the technologies we use.
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Lead the design, development, and deployment of the team's data pipelines, dashboards and other systems, demonstrating seasoned expertise.
Exhibit robust stakeholder management skills, fostering effective communication and collaboration with engineering peers, applied scientists, and product owners throughout the organisation.
Design, construct, and maintain resilient architectures adaptable to evolving product requirements.
Consistently deliver high-quality, testable, and dependable systems, fostering a culture of excellence through comprehensive reviews and mentorship.
Embrace agility by iteratively testing features with stakeholders while maintaining a holistic perspective on project goals.
Prioritise team processes, automation, communication, and collaboration to bolster the team's velocity and output, driving toward collective success.
WE’D LOVE TO MEET YOU IF
You have deep experience and passion in designing and implementing data pipelines, utilising technologies such as Databricks, Spark and Airflow.
You thrive in collaborative environments, seamlessly integrating with various stakeholders and navigating complex domains, such as ML Engineers, Applied Scientist and other Software Engineering teams.
You’re excited about not just the “how” but also the “what”, putting yourself in a customer mindset to build compelling experiences.
You are a smart individual with considerable engineering experience and skills, driven by the desire to tackle tangible customer problems.
You feel at ease with our diverse tech stack, embracing the opportunity to learn new languages, technologies, and systems to wield the most effective tool for each task. (currently Databricks, Python, Airflow, Kubernetes, Kotlin, PostgreSQL, Elastic Search, AWS).
Your ability to navigate between greenfield feature development and the challenges of enhancing existing systems is paramount.
Your clear verbal and written communication skills are essential for effectively conveying needs and addressing technical inquiries. Crafting concise and well-written documentation holds particular importance in our current remote working setup.
If you're someone who is passionate about engineering, finding joy in the processes of designing, creating, and problem-solving, you'll feel right at home here!
Our values resonate with you.
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.
40% off products sold and shipped by Zalando
2 paid volunteering days a year
Work from abroad for up to 30 working days a year
27 days of vacation per year to start
A one-time allowance to set up an ergonomic workstation (outside of Zalando office)
Health & Dental Insurance (opt-in)
Pension Trust Fund-up to 10% match (opt-in)
Life Assurance
Income Protection
Cycle to Work Scheme
Tax Saver Commuter Tickets
Employee shares program
Family services, including counseling and support
Health and wellbeing options, including Wellhub
Mental health support and coaching available
Professional development through our training platform and biannual peer-to-peer reviews
INCLUSIVE BY DESIGN
If you think you have what it takes, we encourage you to apply even if you don't meet every single requirement. You may just be the right candidate for this or other roles!
At Zalando, our vision is to be the leading European technology platform for fashion and lifestyle – one that thrives on diversity and is truly inclusive by design. We believe that diverse teams fuel innovation and creativity, and we actively seek out talent from all backgrounds.
We actively seek to reduce bias in our hiring and employment processes, focusing on your qualifications, skills, and contributions. To support this, we kindly ask that you refrain from including personal details such as your photo, age, or marital status in your CV, ensuring a fair and equitable evaluation based solely on your abilities and potential.
We are committed to providing an exceptional and accessible candidate experience for everyone. If you require any accommodations to support you throughout the hiring process, please let us know – we are here to assist you.
Discover more about our commitment to creating a diverse and inclusive workplace: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
Nach der Prüfung werden unsere Recruiter*innen über eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.
In einigen Fällen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich für eine Stelle zu bewerben oder an einem Vorstellungsgespräch teilzunehmen.
