Senior Data Engineer(m/w/x)

## Senior Data Engineer (m/f/d) ###### Permanent employee, Full-time · München, Mobile Work --- ##### The role We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be responsible for architecting and implementing a scalable data infrastructure with efficient data pipelines. You will work closely with data scientists, analytics and product teams to ensure the creation of impactful solutions. This role requires a deep understanding of software and data engineering principles, cloud technologies, and big data frameworks. Key Responsibilities: * Architect and implement scalable data infrastructure solutions using modern tools, services and cloud environments * Develop and maintain ETL/ELT pipelines to ingest, process, and transform large datasets from various sources * Ensure data quality, integrity, and consistency across the data infrastructure * Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs * Collaborate with DevOps and IT teams to ensure seamless integration and deployment of data solutions * Optimise data storage and retrieval processes to ensure high performance and low latency * Implement best practices for data governance, security, and compliance * Perform regular maintenance and updates to keep the data infrastructure up-to-date with the latest technologies and industry standards * Monitor and troubleshoot data pipelines and infrastructure to ensure reliability and availability ##### What we are looking for * Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field * 7+ years of experience in software and 5+ years in data engineering, with a focus on building and managing data lakehouse or data warehouse solutions * Proven experience with big data technologies (e.g., Apache Spark, Apache Iceberg, Snowflake, Databricks) and cloud platforms (AWS, Azure, GCP) * Proficiency in programming languages such as Java/Kotlin, Python or Scala * Strong knowledge of SQL and experience with relational databases * Experience with data modeling, ETL/ELT processes, and data pipeline orchestration tools (e.g., Apache Airflow) * Excellent problem-solving and analytical skills * Strong communication and collaboration skills * Ability to work independently and as part of a team in a fast-paced environment Preferred Qualifications: * Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis) * Knowledge of machine learning and data science workflows * Familiarity with advanced feature management tools * Knowledge of MLOps practices and tools such as Docker, Kubernetes, and MLflow * Familiarity with data governance and compliance frameworks (e.g., GDPR, CCPA)