[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-data-engineer-3":3,"similar-data-engineer-3":28},{"id":4,"slug":5,"title":6,"skills":7,"budget":16,"duration":16,"location":16,"onsitePercent":17,"contractType":18,"foundAt":19,"category":20,"description":24,"rawText":25,"language":26,"projectId":16,"sourceUrl":27},2771,"data-engineer-3","Data Engineer",[8,9,10,11,12,13,14,15],"PySpark","Databricks","Big Data","Telemetry Data","Data Pipelines","Cloud","German","English",null,0,"contracting","2026-05-14T07:48:16+00:00",{"id":21,"slug":22,"label":23},4,"data_analytics","Data & Analytics","Data Engineer für Big Data Plattformen mit PySpark und Databricks. Arbeit mit Telemetrie-Daten und Aufbau skalierbarer Pipelines. Vollzeit, permanent, vollständig remote.","Login\n\nRegister\nUser\n\nDashboard Client Portal Signout\n\nData Engineer\n\nData Engineer\n\nContract Type:\n\nPermanent\n\nLocation:\n\nContact Name:\n\nRyan Delaney\n\nContact Email:\n\nryan.delaney@thryvetalent.com\n\nPublished\n\n19-Jan-2026\n\nFull Description\n\nCompany Overview\nMy client builds large scale Big Data platforms for industrial and telemetry use cases. They focus on handling very high data volumes and turning complex, messy data into reliable and scalable solutions. The team is small, highly skilled, and fully remote, with a strong hands on engineering culture.\n\nRole Overview\nMy client is looking for a Data Engineer to work on telemetry data platforms using PySpark and Databricks. This role is ideal for someone who enjoys working with large datasets, solving complex data problems, and building robust pipelines in a modern cloud environment.\n\nKey Responsibilities\n• Analyze and process large scale telemetry data using PySpark and Databricks\n• Build and optimize data pipelines designed to handle very high data volumes\n• Work closely with a small team of experienced data engineers\n• Take ownership of tasks and work independently in a remote first setup\n• Share knowledge and collaborate in a pragmatic, engineering driven culture\n\nRequired Experience\n• Strong hands on experience with PySpark and Databricks\n• Good understanding of telemetry or event based data\n• Ability to translate complex data challenges into practical solutions\n• Motivation to work autonomously in a dynamic environment\n\nWhy This Role\n• Technically challenging Big Data projects you rarely encounter elsewhere\n• Fully remote role with complete flexibility\n• High level of responsibility and ownership\n• Strong team culture despite being remote\n• Opportunity to make a visible impact in a small expert team\n\nRole Details\n• Full time, permanent position\n• Fully remote home office\n• Immediate or short term start preferred\n• Company training, events, and equipment provided\n• German and English required for daily communication\n• Candidates are encouraged to share relevant Spark or Big Data project experience\n\nSimilar Jobs\n\nAPPLY NOW\n\nInterested in this job?\nSave Job\n\nShare this job\n\nCreate a job alert and be notified of similar roles via email\n\nCreate As Alert\n\nSCHEMA MARKUP ( This text will only show on the editor. )\n\nTHRYVE helps companies across Germany and the DACH region scale high-performing tech teams across AI, cloud, cyber security, software engineering, and digital transformation. Combining specialist market expertise with an engaged tech community, we deliver talent built for long-term growth.\n\nQuick Links\n\nContact Us\n\nThryve Consulting GmbH Pariser Platz 6A 10117 Berlin Thryve Talent Ltd 4 Eastcheap City of London +49 30 91733681 +44 20 37694455 E-Mail: info@thryvetalent.com info@thryvetalent.com\n\nShare by:\n\n-","en","https:\u002F\u002Fwww.thryvetalent.com\u002Fjob-details\u002Fdata-engineer-in-it-jobs-1397695",{"items":29},[30,44,63,79,93],{"id":31,"slug":32,"title":33,"skills":34,"budget":38,"duration":39,"location":40,"onsitePercent":41,"contractType":18,"foundAt":42,"category":43},4900,"product-manager-data-analytics","Product Manager Data & Analytics",[23,35,36,37,15],"Product Management","AI","Danish","Negotiable","6 Monate mit Verlängerungsmöglichkeit","Copenhagen",60,"2026-05-20T15:45:28+00:00",{"id":21,"slug":22,"label":23},{"id":45,"slug":46,"title":47,"skills":48,"budget":16,"duration":59,"location":60,"onsitePercent":16,"contractType":18,"foundAt":61,"category":62},4835,"data-solution-architect-delivery-lead-mfd","Data \u002F Solution Architect (Delivery Lead) (m\u002Ff\u002Fd)",[49,50,51,52,53,9,54,55,56,57,58],"Data Architecture","Solution Architecture","Treasury","MS SQL Server","SSAS","Microsoft Azure","Data Modeling","Kimball","Lakehouse","Stakeholder Management","Start: 06\u002F26","Vienna","2026-05-20T13:21:14+00:00",{"id":21,"slug":22,"label":23},{"id":64,"slug":65,"title":66,"skills":67,"budget":16,"duration":16,"location":60,"onsitePercent":16,"contractType":18,"foundAt":77,"category":78},4834,"data-governance-data-quality-engineer-mfd","Data Governance & Data Quality Engineer (m\u002Ff\u002Fd)",[68,69,70,71,72,73,74,75,76],"Data governance frameworks","DAMA","GDPR","Databricks Unity Catalog","Data lineage tools","Data validation frameworks","SQL","Testing tools","Azure","2026-05-20T13:21:07+00:00",{"id":21,"slug":22,"label":23},{"id":80,"slug":81,"title":82,"skills":83,"budget":16,"duration":16,"location":16,"onsitePercent":17,"contractType":18,"foundAt":91,"category":92},4832,"data-engineer-nearshore-german-speaking-mfd","Data Engineer (Nearshore - German speaking) (m\u002Ff\u002Fd)",[74,84,85,86,87,88,89,90],"DBT","Python","Data Warehousing","ETL","Snowflake","Apache Airflow","Data Pipeline Orchestration","2026-05-20T13:20:53+00:00",{"id":21,"slug":22,"label":23},{"id":94,"slug":95,"title":96,"skills":97,"budget":106,"duration":107,"location":108,"onsitePercent":17,"contractType":18,"foundAt":109,"category":110},4826,"100-remote-data-engineer-ms-azure-python-mwd","100% remote: Data Engineer – MS Azure \u002F Python (m\u002Fw\u002Fd)",[85,98,99,100,101,102,103,104,105],"Azure Synapse","Microsoft Fabric","FastAPI","Data Engineering","API-Entwicklung","Power BI","Scrum","Kanban","Verhandelbar","2026 (140 Personentage)","Berlin","2026-05-20T13:05:35+00:00",{"id":21,"slug":22,"label":23}]