{"schemaVersion":"jobsearcher.job.v1","id":"0c113138768bbcb3e65af2b3","url":"https://jobsearcher.com/jobs/0c113138768bbcb3e65af2b3","canonicalUrl":"https://jobsearcher.com/jobs/0c113138768bbcb3e65af2b3","title":"Data Engineer (GCP)","description":"We're looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce , telecommunications and life sciences . Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects.\r\nOur team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together!\r\nMust-Have Qualifications At least 3-4 years of commercial experience in programming.\r\nProven record with a cloud provider - Google Cloud Platform.\r\nStrong knowledge of Python, SQL and JVM languages (Scala, Java or Kotlin).\r\nExperience in BigQuery data warehousing solution.\r\nIn-depth understanding of big data aspects such as data storage, modeling , processing and scheduling .\r\nUnderstanding of Apache Spark (or similar distributed data processing framework).\r\nExperience with data modeling and data storage .\r\nEnsuring solution quality through automatic tests, CI/CD and code review.\r\nProven collaboration with businesses.\r\nEnglish proficiency at min. B2 level, proficient in Polish.\r\nNice-to-Have Knowledge of dbt, Docker and Kubernetes, Apache Kafka.\r\nFamiliarity with Apache Airflow or similar pipeline orchestrator.\r\nExperience in another JVM language.\r\nExperience in Machine Learning projects.\r\nFamiliarity with one of BI tools: Power BI/Looker/Tableau.\r\nWillingness to share knowledge (conferences, articles, open-source projects).\r\nWhat's on Offer 100% remote work, with workation opportunity.\r\nOnboarding with a dedicated mentor.\r\nBenefits: Medicover Private Medical Care , co-financing of the Medicover Sport card.\r\nOpportunity to learn English with a native speaker.\r\nRegular company trips and informal get-togethers.\r\nDevelopment Opportunities in Datumo Participation in industry conferences.\r\nEstablishing Datumo's online brand presence.\r\nSupport in obtaining certifications (e.g. GCP, Azure, Snowflake).\r\nInvolvement in internal initiatives, like building technological roadmaps.\r\nAccess to internal technological training repositories.\r\nDiscover Our Exemplary Projects IoT data ingestion to cloud – The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer.\r\n?? Petabyte-scale data platform migration to Google Cloud – The goal is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client's requirements, and automating them using Cloud Composer.\r\nData analytics platform for investing company – The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented.\r\nA consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project's start, contributing to planning the platform's architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform.\r\nRecruitment Process If you like what we do and you dream about creating this world with us – don't wait, apply now!\r\nBy submitting your application you consent to the processing of your personal data included in the submitted CV and attached documents by DATUMO sp. z o.o. with its registered office in Warsaw for the purposes of the recruitment process, in accordance with Article 6(1)(a) of the GDPR and, if applicable, Article 9(2)(a). This consent may be revoked at any time by sending a notification to contact@datumo.pl. URL – https://www.datumo.io/privacy-policy\r\nJ-18808-Ljbffr","company":"Datumo","rawCompany":"datumo","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-04-23T04:33:33.692Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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 (GCP)","description":"We're looking for a Data Engineer ready to push boundaries and grow with us. Datumo specializes in providing Data Engineering and Cloud Computing consulting services to clients from all over the world, primarily in Western Europe, Poland and the USA. Core industries we support include e-commerce , telecommunications and life sciences . Our team consists of exceptional people whose commitment allows us to conduct highly demanding projects.\r\nOur team members tend to stick around for more than 3 years, and when a project wraps up, we don't let them go - we embark on a journey to discover exciting new challenges for them. It's not just a workplace; it's a community that grows together!\r\nMust-Have Qualifications At least 3-4 years of commercial experience in programming.\r\nProven record with a cloud provider - Google Cloud Platform.\r\nStrong knowledge of Python, SQL and JVM languages (Scala, Java or Kotlin).\r\nExperience in BigQuery data warehousing solution.\r\nIn-depth understanding of big data aspects such as data storage, modeling , processing and scheduling .\r\nUnderstanding of Apache Spark (or similar distributed data processing framework).\r\nExperience with data modeling and data storage .\r\nEnsuring solution quality through automatic tests, CI/CD and code review.\r\nProven collaboration with businesses.\r\nEnglish proficiency at min. B2 level, proficient in Polish.\r\nNice-to-Have Knowledge of dbt, Docker and Kubernetes, Apache Kafka.\r\nFamiliarity with Apache Airflow or similar pipeline orchestrator.\r\nExperience in another JVM language.\r\nExperience in Machine Learning projects.\r\nFamiliarity with one of BI tools: Power BI/Looker/Tableau.\r\nWillingness to share knowledge (conferences, articles, open-source projects).\r\nWhat's on Offer 100% remote work, with workation opportunity.\r\nOnboarding with a dedicated mentor.\r\nBenefits: Medicover Private Medical Care , co-financing of the Medicover Sport card.\r\nOpportunity to learn English with a native speaker.\r\nRegular company trips and informal get-togethers.\r\nDevelopment Opportunities in Datumo Participation in industry conferences.\r\nEstablishing Datumo's online brand presence.\r\nSupport in obtaining certifications (e.g. GCP, Azure, Snowflake).\r\nInvolvement in internal initiatives, like building technological roadmaps.\r\nAccess to internal technological training repositories.\r\nDiscover Our Exemplary Projects IoT data ingestion to cloud – The project integrates data from edge devices into the cloud using Azure services. The platform supports data streaming via either the IoT Edge environment with Java or Python modules, or direct connection using Kafka protocol to Event Hubs. It also facilitates batch data transmission to ADLS. Data transformation from raw telemetry to structured tables is done through Spark jobs in Databricks or data connections and update policies in Azure Data Explorer.\r\n?? Petabyte-scale data platform migration to Google Cloud – The goal is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client's requirements, and automating them using Cloud Composer.\r\nData analytics platform for investing company – The project centers on developing and overseeing a data platform for an asset management company focused on ESG investing. Databricks is the central component. The platform, built on Azure cloud, integrates various Azure services for diverse functionalities. The primary task involves implementing and extending complex ETL processes that enrich investment data, using Spark jobs in Scala. Integrations with external data providers, as well as solutions for improving data quality and optimizing cloud resources, have been implemented.\r\nA consumer data platform (CDP) for a major Polish retail company. Datumo actively participates from the project's start, contributing to planning the platform's architecture. The CDP is built on Google Cloud Platform (GCP), utilizing services like Pub/Sub, Dataflow and BigQuery. Open-source tools, including a Kubernetes cluster with Apache Kafka, Apache Airflow and Apache Flink, are used to meet specific requirements. This combination offers significant possibilities for the platform.\r\nRecruitment Process If you like what we do and you dream about creating this world with us – don't wait, apply now!\r\nBy submitting your application you consent to the processing of your personal data included in the submitted CV and attached documents by DATUMO sp. z o.o. with its registered office in Warsaw for the purposes of the recruitment process, in accordance with Article 6(1)(a) of the GDPR and, if applicable, Article 9(2)(a). This consent may be revoked at any time by sending a notification to contact@datumo.pl. URL – https://www.datumo.io/privacy-policy\r\nJ-18808-Ljbffr","datePosted":"2026-04-23T04:33:33.692Z","dateModified":"2026-04-23T04:33:33.692Z","hiringOrganization":{"@type":"Organization","name":"Datumo","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0c113138768bbcb3e65af2b3"},"url":"https://jobsearcher.com/jobs/0c113138768bbcb3e65af2b3"}}