{"schemaVersion":"jobsearcher.job.v1","id":"6515e48d9afb3d7a41ed9aeb","url":"https://jobsearcher.com/jobs/6515e48d9afb3d7a41ed9aeb","canonicalUrl":"https://jobsearcher.com/jobs/6515e48d9afb3d7a41ed9aeb","title":"Data & Analytics Engineer (m/f/d)","description":"Your roleDesign, implement, and maintain backend services in Python that power our data access and distribution layer\r\nBuild and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes\r\nDesign and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry\r\nBuild access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API\r\nAct as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams\r\nYour profile3+ years of experience in analytics engineering, data engineering, or a related role.\r\nStrong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas).\r\nHands-on experience with event streaming and message distribution, ideally Kafka, including schema management with the Kafka schema registry (Avro, Protobuf, or JSON Schema).\r\nExperience designing data contracts and schemas between upstream producers and downstream consumers.\r\nExperience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data stack tools (e.g., dbt, CI/CD).\r\nOpenness to AI-assisted development workflows (e.g., Claude Code or similar).\r\nComfort working at the boundary of streaming/operational data and analytical data models, and building access layers that serve applications via API.\r\nStrong attention to detail with a quality-focused and structured working style.\r\nInterest in data governance, standards, and scalable data architecture.\r\nAnalytical mindset with strong problem-solving skills.\r\nExcellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts.\r\nWhat we offerIn addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:\r\nWork from abroad up to 30 calendar days a year\r\nHybrid work and flex-time\r\nInternational team and social events\r\nSubsidized urban mobility and access to fitness and wellness options\r\nFree access to Langdock and all its amazing functionalities\r\nCareer & training opportunities\r\nAttractive locations and modern offices\r\nMental health support with OpenUp\r\nSome of the benefits listed here apply only to the German entity and to Junior-level roles or above.#J-18808-Ljbffr","company":"Statista","rawCompany":"statista","city":"Beaver","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:19:13.621Z","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":"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 (m/f/d)","description":"Your roleDesign, implement, and maintain backend services in Python that power our data access and distribution layer\r\nBuild and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes\r\nDesign and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry\r\nBuild access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API\r\nAct as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams\r\nYour profile3+ years of experience in analytics engineering, data engineering, or a related role.\r\nStrong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas).\r\nHands-on experience with event streaming and message distribution, ideally Kafka, including schema management with the Kafka schema registry (Avro, Protobuf, or JSON Schema).\r\nExperience designing data contracts and schemas between upstream producers and downstream consumers.\r\nExperience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data stack tools (e.g., dbt, CI/CD).\r\nOpenness to AI-assisted development workflows (e.g., Claude Code or similar).\r\nComfort working at the boundary of streaming/operational data and analytical data models, and building access layers that serve applications via API.\r\nStrong attention to detail with a quality-focused and structured working style.\r\nInterest in data governance, standards, and scalable data architecture.\r\nAnalytical mindset with strong problem-solving skills.\r\nExcellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts.\r\nWhat we offerIn addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:\r\nWork from abroad up to 30 calendar days a year\r\nHybrid work and flex-time\r\nInternational team and social events\r\nSubsidized urban mobility and access to fitness and wellness options\r\nFree access to Langdock and all its amazing functionalities\r\nCareer & training opportunities\r\nAttractive locations and modern offices\r\nMental health support with OpenUp\r\nSome of the benefits listed here apply only to the German entity and to Junior-level roles or above.#J-18808-Ljbffr","datePosted":"2026-08-08T01:19:13.621Z","dateModified":"2026-08-08T01:19:13.621Z","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":"6515e48d9afb3d7a41ed9aeb"},"url":"https://jobsearcher.com/jobs/6515e48d9afb3d7a41ed9aeb"}}