> Markdown version of [/jobs/ext/385919-senior-data-engineer-lounge-by-zalando-all-genders](https://www.wearedevelopers.com/jobs/ext/385919-senior-data-engineer-lounge-by-zalando-all-genders). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - Lounge by Zalando (all genders) - **Company:** Zalando SE - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Batch Processing, Information Engineering, Data Governance, Data Infrastructure, Data Stores, Distributed Computing Environment, Distributed Data Store, Amazon DynamoDB, Apache Hadoop, Python (Programming Language), Recommender Systems, Redis, Software Engineering, SQL Databases, Apache Spark, Backend, Apache Flink, Cassandra, Apache Kafka, Data Management, Machine Learning Operations, Stream Processing, Data Pipelines, Apache Beam - **Published:** June 12, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=e5f7ef9dec6da3cf ## About the Role Do you have experience in Spark?, * Strong experience applying software engineering principles to data management systems. You should be proficient in building robust, scalable data infrastructure using high-quality code - not just SQL. * 3+ years of experience in data engineering projects. * Good understanding of distributed data processing mechanisms. You should be able to diagnose and optimize a slow-running data pipeline. * Experience with large-scale batch processing and/or stream processing (e.g. Spark, Hadoop, Flink, Storm, Apache Beam, Kafka.) * Proficient in either Python or Java. * A strong understanding of distributed databases, especially high-throughput/low-latency data stores (e.g. DynamoDB, Cassandra, or Redis), is highly valued. ## Description You will be a data engineer, working alongside backend engineers and data scientists to build large-scale recommender systems. As the largest online fashion retailer in Europe, we require a skilled engineer who can design, build, and maintain Machine Learning pipelines at a global scale. You will play a key role across the entire ML lifecycle, from designing and implementing robust batch and streaming preprocessing pipelines to enabling efficient model training and distribution for our real-time recommender systems. This is a very good opportunity to build a data product that has a measurable impact on the business outcomes and the user experience. You will have significant input into architectural decisions, and help to implement state of the art ML recommender algorithms. There are very few roles that offer this unique synthesis of scale and ML complexity. Our team thrives on a multidisciplinary approach, and while this role is primarily focused on data engineering development, we highly value individuals who are adaptable and willing to contribute to other areas as needed, fostering a truly collaborative environment., * Implement and maintain high-throughput/low-latency data stores (e.g., for real-time recommendations). * Implement and improve data governance mechanisms to ensure data quality and reliability. * Accelerate the pace of innovation by building and improving ML infrastructure, such as training and evaluation frameworks, experimentation frameworks. * Collaborate with brilliant Product Managers, Data Scientists, Engineers, and Analysts across Zalando to create positive customer impact together. * Help define our team's objectives. Continuously improve the self-organization of the team. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Maximising Cassandra's Potential: Tips on Schema, Queries, Parallel Access, and Reactive Programming](https://www.wearedevelopers.com/videos/1167-maximising-cassandra-s-potential-tips-on-schema-queries-parallel-access-and-reactive-programming) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Building Real-Time AI/ML Agents with Distributed Data using Apache Cassandra and Astra DB](https://www.wearedevelopers.com/videos/782-building-real-time-ai-ml-agents-with-distributed-data-using-apache-cassandra-and-astra-db) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Frontend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/195-frontend-developer-salary-in-germany-2023) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [Where to Find German Tech Jobs](https://www.wearedevelopers.com/magazine/366-where-to-find-german-tech-jobs)