ZS

Senior Software Engineer (Data/ML) - all genders

Zalando SE•Technology
BerlinVollzeitVor Ortvor 2 Tagen

Muslimfreundliche Arbeitsplatz-Merkmale

  • Gebetsraum
gefüllt = im Anzeigentext genanntumrandet = Angabe auf der Website des Arbeitgebers

Merkmale sind Hinweise aus der Stellenanzeige, keine bestätigten Zusagen. Arbeitgeber-Angaben stammen von der Website des Arbeitgebers, nicht aus dieser Anzeige.

Ich bin interessiertPer WhatsApp teilen
Kostenlos registrieren – das bringt dir ein Konto
  • Alle 1.200+ belegten muslimfreundlichen Stellen durchblättern
  • Beleg-Details sehen: Zitat und Quelle zu jedem Merkmal
  • Jobs merken und Bewerbungen verfolgen
  • Persönliche Empfehlungen nach deinen Werten
Jetzt kostenlos registrieren

🔔 Neue Jobs wie dieser — direkt in dein Postfach

Kein Account nötig. Maximal eine E-Mail pro Woche, Abmeldung jederzeit.

Mit dem Absenden stimmst du zu, E-Mails zu passenden Jobs von SalamJobs zu erhalten. Abmeldung jederzeit möglich.

💬 Oder lass Rafik suchen — dein kostenloser Karriereberater →

📌THE ROLE & THE TEAM

As a Senior Software Engineer (Data/ML) in the Pricing Platform department, you will be responsible for building cutting-edge algorithmic pricing solutions that are essential for optimising profit and managing the stock risk across all articles on the Zalando platform. You will make these products reliable in production. You will build the data, software, deployment, and monitoring foundations that allow models to move safely from experimentation into daily commercial use.

This is an engineering role at the intersection of data platforms, machine learning, optimisation, and product development. You will work closely with Applied Scientists, Product Managers, Engineers, and commercial stakeholders to turn ambiguous problems into trusted, scalable systems.

Learn more about our Software engineering team https://jobs.zalando.com/en/what-we-do/software-engineering and how we work together https://jobs.zalando.com/en/where-we-work

📌WHAT WE’D LOVE YOU TO DO (AND LOVE DOING)

Build and operate production systems for data ingestion, optimisation, forecasting, and machine learning
Design scalable data and ML pipelines using Python, Databricks, Spark, and Airflow, with clear data contracts and reliable failure handling.
Enable Applied scientists to develop and evaluate models efficiently by providing reusable training, evaluation, deployment, and experiment-tracking capabilities.
Productionise models: define dependable inputs and outputs, automate deployment, monitor quality and performance, and make model behaviour traceable in production.
Develop and operate workloads in the appropriate execution environment: Databricks jobs for distributed data and ML processing, and Dockerised applications running as Kubernetes pods where that runtime is needed.
Build operational dashboards, alerts, and runbooks so that users and engineers can understand system state, identify issues, and respond effectively.
Work with product and commercial partners to convert business rules and decision requirements into maintainable software components.
Raise the engineering bar through pragmatic standards for system design, testing, code review, CI/CD, observability, and operational ownership.

📌WE’D LOVE TO MEET YOU IF

You have 4+ years of experience building and running data or ML systems in production, for example in MLOps, data engineering, ML platforms, or ML product development.
You write maintainable production Python and follow established software-delivery practices, including automated testing, code review, and CI/CD.
You're strong in software engineering fundamentals: reliability, scalability, observability, and maintainable system design.
You understand how cloud workloads are deployed and run, including AWS, Docker containers, and Kubernetes-based execution.
You communicate clearly with both technical and non-technical stakeholders and enjoy turning ambiguous problems into dependable systems.
Familiarity with AI-assisted development tools such as Co-pilot, Codex or Claude Code is welcome.

📌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.

27 days of holiday a year to start for full-time employees (+1 day for every calendar year up to 30 days)
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners
Family support, including counselling and dedicated services for parents and carers
Company pension scheme
Employee shares programme
Health and wellbeing options, including Wellhub
Mental health support and coaching
Development through our training platform and biannual peer-to-peer review
2 paid volunteering days a year
Relocation assistance (subject to prior agreement)

📌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

Job-Übersicht

Veröffentlicht
14. Oktober 2026
Standort
Berlin
Beschäftigungsart
Vollzeit
Arbeitsmodell
Vor Ort

Unternehmen

ZS

Zalando SE

Berlin
Angabe auf der Website des Arbeitgebers

Gebetsräume auf dem Berliner Campus, laut D&I-Report 2022 gemeinsam mit dem Muslim Community Network der Beschäftigten aufgewertet; die Berlin-Seite der Karriereseite nennt „Gebetsräume“ unter den Campus-Features — standortgebunden, nur Stellen mit Ort Berlin (Logistikzentren ohne Beleg)

Beleg hinterlegt — Zitat und Quelle siehst du mit kostenlosem Konto.

Kostenlos anmelden und Beleg ansehen

Selbstauskunft des Arbeitgebers, keine Zusage für diese Stelle — sprich es im Gespräch an.

Unternehmensprofil ansehen
Quelle

Diese Stellenanzeige stammt direkt von der Karriereseite des Arbeitgebers und wird dort gehostet.

Originalanzeige ansehen
Ich bin interessiert