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# Senior Software Engineer (Data/ML) - all genders

- **Company:** Zalando SE
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Automation of Tests, Code Review, Continuous Integration, Information Engineering, Distributed Data Store, Python (Programming Language), Machine Learning, Cloud Services, Microsoft Copilot, Azure Machine Learning, Software Engineering, Data Ingestion, Claude Code, Apache Spark, Kubernetes, Data Management, Machine Learning Operations, Docker, Databricks
- **Published:** October 15, 2026
- **Apply:** https://startup.jobs/senior-software-engineer-data-ml-all-genders-zalando-se-10457245

## About the Role

* 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.

## Description

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, * 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 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.