Level
Senior
Ort
Berlin
Arbeitsmodell
Onsite
Job Feld
Software, Data
Anstellung
Vollzeit
Vertragsart
Unbefristetes Dienstverhältnis

Job Zusammenfassung

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).