Job
In dieser Position entwickelst du robuste algorithmische Preislösungen, baust skalierbare Daten- und ML-Pipelines und automatisierst deren Betrieb, während du eng mit verschiedenen Teams zusammenarbeitest.
Job-Technologien
Deine Rolle im 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- Zalando provides a range of benefits, here's an overview of what you can expect.
- 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).
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Essen & Trinken
Themen, mit denen du dich im Job beschäftigst
Job-Standorte
Das ist dein Arbeitgeber
Zalando is die europäische Online-Plattform für Mode, die Kunden, Marken und Partner in 17 Märkten verbindet.
- Etablierte Firma
- Onsite, Hybrid, Full Remote
- Handel
Arbeitgeber-Reviews
- Arbeitsbedingungen
- 4,4
- Teamkultur
- 3,5
- Engineering
- 3,1
- Karriere
- 2,6
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