{"schemaVersion":"jobsearcher.job.v1","id":"dfb064b2fd345f9466209e2b","url":"https://jobsearcher.com/jobs/dfb064b2fd345f9466209e2b","canonicalUrl":"https://jobsearcher.com/jobs/dfb064b2fd345f9466209e2b","title":"Data Engineer","description":"Data Engineer – Remote in Germany | Permanent | German-speaking Are you a seasoned Data Engineer who thrives in building scalable, high-performance data solutions? Do you want to work remotely while still collaborating closely with a forward-thinking, data-driven team? If you're based in Germany and fluent in German, this could be your next big move.\r\nAbout the Role As a Data Engineer, you will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, and advanced ML/AI initiatives. You'll work with modern technologies in the Azure ecosystem and collaborate with cross-functional teams to deliver reliable, high-quality data solutions.\r\nIn this role you will: Design and build high-performance data pipelines using Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.\r\nImplement robust data models, data quality checks, and governance practices to ensure accuracy and reliability.\r\nTake ownership of integrating, consolidating, cleansing, and structuring large datasets to support business insights, reporting, and ML/AI use cases.\r\nCollaborate with data professionals, management, and stakeholders to ensure technical solutions align with business needs and support successful platform implementations.\r\nWhat we are looking for: Bachelor's degree in a STEM field; Master's degree preferred.\r\n5+ years of professional experience in data engineering.\r\nProven expertise with Databricks, Apache Spark, ELT/ETL processes, and data pipeline development.\r\nStrong understanding of data modelling and data warehousing concepts.\r\nSolid knowledge of SQL, Python, and Spark.\r\nHands-on experience with CI/CD, version control, and modern data engineering practices.\r\nExperience working with various databases and performing root-cause analysis.\r\nAbility to thrive in a fast-paced, dynamic environment and take on diverse responsibilities.\r\nExperience in finance or accounting domains is a plus.\r\nJ-18808-Ljbffr","company":"Gcs","rawCompany":"gcs","city":"New Bremen","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:27:41.152Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data Engineer – Remote in Germany | Permanent | German-speaking Are you a seasoned Data Engineer who thrives in building scalable, high-performance data solutions? Do you want to work remotely while still collaborating closely with a forward-thinking, data-driven team? If you're based in Germany and fluent in German, this could be your next big move.\r\nAbout the Role As a Data Engineer, you will play a key role in designing, developing, and maintaining the data infrastructure that powers analytics, reporting, and advanced ML/AI initiatives. You'll work with modern technologies in the Azure ecosystem and collaborate with cross-functional teams to deliver reliable, high-quality data solutions.\r\nIn this role you will: Design and build high-performance data pipelines using Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.\r\nImplement robust data models, data quality checks, and governance practices to ensure accuracy and reliability.\r\nTake ownership of integrating, consolidating, cleansing, and structuring large datasets to support business insights, reporting, and ML/AI use cases.\r\nCollaborate with data professionals, management, and stakeholders to ensure technical solutions align with business needs and support successful platform implementations.\r\nWhat we are looking for: Bachelor's degree in a STEM field; Master's degree preferred.\r\n5+ years of professional experience in data engineering.\r\nProven expertise with Databricks, Apache Spark, ELT/ETL processes, and data pipeline development.\r\nStrong understanding of data modelling and data warehousing concepts.\r\nSolid knowledge of SQL, Python, and Spark.\r\nHands-on experience with CI/CD, version control, and modern data engineering practices.\r\nExperience working with various databases and performing root-cause analysis.\r\nAbility to thrive in a fast-paced, dynamic environment and take on diverse responsibilities.\r\nExperience in finance or accounting domains is a plus.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:27:41.152Z","dateModified":"2026-04-09T15:27:41.152Z","hiringOrganization":{"@type":"Organization","name":"Gcs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Bremen","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dfb064b2fd345f9466209e2b"},"url":"https://jobsearcher.com/jobs/dfb064b2fd345f9466209e2b"}}