{"schemaVersion":"jobsearcher.job.v1","id":"fff662a8afe53175dfc8a667","url":"https://jobsearcher.com/jobs/fff662a8afe53175dfc8a667","canonicalUrl":"https://jobsearcher.com/jobs/fff662a8afe53175dfc8a667","title":"Data & Analytics Engineer","description":"Data & Analytics Engineer at statista. About the role Statista is a global business data platform helping users make informed, fact-based decisions through reliable analytics. We are looking for an engineer to bridge the gap between our technical infrastructure and data distribution layers. You will join a growing international team to build scalable systems that deliver high-quality data to our products.\r\nKey factsLocation: Hamburg or Berlin (Hybrid) Engagement: FullTime Team: Tech\r\nWhat you'll doDevelop and support Python backend services for data distribution and access.\r\nManage automated deployment, testing, and build processes using CI/CD, GitOps, AWS, and Kubernetes.\r\nCreate and maintain SQL and Avro data models for our Kafka-based distribution platform.\r\nBuild analytics-ready data models in Snowflake to support direct application and API access.\r\nCoordinate between Data and Tech departments to align on project timelines, schema standards, and priorities.\r\nRequirementsMinimum 3 years of professional experience in data engineering, analytics engineering, or a comparable field.\r\nProficiency in SQL and dimensional data modeling techniques.\r\nPractical knowledge of event streaming via Kafka, including schema management with Avro, Protobuf, or JSON Schema.\r\nExperience defining data contracts between producers and consumers.\r\nFamiliarity with cloud data warehouses like Snowflake, BigQuery, or Redshift, alongside modern tools such as dbt.\r\nStrong communication skills in English, with the ability to translate business needs into technical requirements.\r\nNice to haveProficiency in the German language.\r\nExperience with AI-assisted coding tools like Claude Code.\r\nSkills & toolsPython\r\nSQL\r\nKafka\r\nAWS\r\nKubernetes\r\nSnowflake\r\nCI/CD\r\nGitOps\r\nAvro\r\ndbt\r\nPractical notesStatista offers a flexible work environment including hybrid schedules and the ability to work from abroad for up to 30 days annually. Employees have access to fitness and wellness programs, mental health support via OpenUp, and subsidized urban mobility. We provide ongoing training and career development opportunities, as well as access to AI tools like Langdock. Please note that specific benefits may vary based on your role level and the German entity.#J-18808-Ljbffr","company":"Statista","rawCompany":"statista","city":"Beaver","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:19:12.785Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data & Analytics Engineer","description":"Data & Analytics Engineer at statista. About the role Statista is a global business data platform helping users make informed, fact-based decisions through reliable analytics. We are looking for an engineer to bridge the gap between our technical infrastructure and data distribution layers. You will join a growing international team to build scalable systems that deliver high-quality data to our products.\r\nKey factsLocation: Hamburg or Berlin (Hybrid) Engagement: FullTime Team: Tech\r\nWhat you'll doDevelop and support Python backend services for data distribution and access.\r\nManage automated deployment, testing, and build processes using CI/CD, GitOps, AWS, and Kubernetes.\r\nCreate and maintain SQL and Avro data models for our Kafka-based distribution platform.\r\nBuild analytics-ready data models in Snowflake to support direct application and API access.\r\nCoordinate between Data and Tech departments to align on project timelines, schema standards, and priorities.\r\nRequirementsMinimum 3 years of professional experience in data engineering, analytics engineering, or a comparable field.\r\nProficiency in SQL and dimensional data modeling techniques.\r\nPractical knowledge of event streaming via Kafka, including schema management with Avro, Protobuf, or JSON Schema.\r\nExperience defining data contracts between producers and consumers.\r\nFamiliarity with cloud data warehouses like Snowflake, BigQuery, or Redshift, alongside modern tools such as dbt.\r\nStrong communication skills in English, with the ability to translate business needs into technical requirements.\r\nNice to haveProficiency in the German language.\r\nExperience with AI-assisted coding tools like Claude Code.\r\nSkills & toolsPython\r\nSQL\r\nKafka\r\nAWS\r\nKubernetes\r\nSnowflake\r\nCI/CD\r\nGitOps\r\nAvro\r\ndbt\r\nPractical notesStatista offers a flexible work environment including hybrid schedules and the ability to work from abroad for up to 30 days annually. Employees have access to fitness and wellness programs, mental health support via OpenUp, and subsidized urban mobility. We provide ongoing training and career development opportunities, as well as access to AI tools like Langdock. Please note that specific benefits may vary based on your role level and the German entity.#J-18808-Ljbffr","datePosted":"2026-08-09T01:19:12.785Z","dateModified":"2026-08-09T01:19:12.785Z","hiringOrganization":{"@type":"Organization","name":"Statista","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beaver","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fff662a8afe53175dfc8a667"},"url":"https://jobsearcher.com/jobs/fff662a8afe53175dfc8a667"}}