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The Product Data Quality team is looking for talented Software Engineers who have a passion for building applications at the intersection of data science, data engineering and software development. Our team consists of a great mix of 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 spearhead the design, development, deployment, and monitoring of cloud-based microservice architectures. You will work closely with Applied Scientists and Product Managers to deploy and manage state-of-the-art machine learning models for text and image analysis, enriching our product information in both synchronous and asynchronous workstreams in a scalable and sustainable manner. Additionally, you'll enable new methods for customers to seamlessly navigate and gain profound insights into our product assortment on the Product Details Page. Our cutting-edge technology stack encompasses Python, Kotlin,, AWS, Databricks, Kubernetes, RESTful APIs, Tensorflow, PyTorch, Elastic Search, and Postgres amongst others. Check our Engineering Blog for more information about us!
WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)
Lead the design, development, and deployment of the team's systems, demonstrating seasoned expertise.
Design, construct, and maintain resilient software 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.
Exhibit robust stakeholder management skills, fostering effective communication and collaboration with engineering peers, applied scientists, and product owners throughout the organisation.
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 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. (AWS, Databricks, Kubernetes, Kotlin, Python, PostgreSQL, Elastic Search).
You have experience in designing and implementing microservices, event-driven architectures, distributed systems and RESTful APIs.
You are a smart individual with considerable engineering experience and skills, driven by the desire to tackle tangible customer problems.
Your ability to navigate between greenfield feature development and the challenges of enhancing existing low-latency systems is paramount.
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.
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 OFFER
Zalando provides a range of benefits, here’s an overview of what you can expect.
Employee shares program
40% off products sold and shipped by Zalando
2 paid volunteering days a year
Hybrid working model with 60% remote per week
Work from abroad for up to 30 working days a year
27 days of vacation a year
Relocation assistance available (subject to prior agreement)
Health and wellbeing options (including Gympass)
#LI-Hybrid
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!
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