Cloud/Data Engineer

🏢 Summary: Long-term Cloud Engineer (GCP) role focused on building and maintaining a new GCP environment migrated from Azure in the Money Services sector. The position combines operational support, platform design (HLD), and infrastructure automation using IaC. Work includes cloud–on-prem integrations, CI/CD automation, and end-to-end user onboarding in an agile DevOps setup. 🗂️ Requirements: Minimum 1 year experience with Terraform (IaC), Practical experience with Google Cloud Platform (GCP), Knowledge of cloud environment principles: availability, reliability, scalability, Experience with cloud to on-prem integrations, especially networking and connectivity, Experience with CI/CD tools: Jenkins, Bitbucket or TeamCity, Experience working in DevOps model, Ability to manage and resolve tickets end-to-end in GCP environment 📃 Skills: GCP, Terraform, Terragrunt, Jenkins, Bitbucket, TeamCity, Artifactory, Nessus, Prometheus, Packer, IaC, Azure, CI/CD, DevOps, Networking, API 🏢 Description: W ITLT pomagamy naszym zaprzyjaźnionym firmom przekształcać ambitne pomysły w cyfrową rzeczywistość. Z nastawieniem na wyzwania, ciekawość technologii i zwinność - współtworzymy wyjątkowe rozwiązania IT. Aktualnie poszukujemy osób na stanowisko: Cloud Engineer (GCP) Konkrety: Stawka: 140 - 150 PLN/h na FV Miejsce pracy/praca zdalna: Zapewniamy dużą swobodę pracy zdalnej, przy czym 2x/miesiąc zapraszamy do warszawskiego biura Wymiar pracy: Fulltime Sektor: Money Services Projekt: Nowo tworzone środowisko GCP (migracja z Azure) - brak legacy + możliwość współtworzenia standardów Rola łączy operacyjne wsparcie użytkowników + projektowanie i utrzymanie platformy cloud Praca ma charakter platformowy i reaktywny (ticket-based), z elementami projektowymi (HLD) oraz automatyzacyjnymi (IaC) Zespół: 6-8os. Proces rekrutacji: 1-etapowy (techniczne spotkanie zdalne), sporadycznie może się zdarzyć krótkie dodatkowe spotkanie z Managerem połączone z decyzją Szacowany czas trwania projektu: Długoterminowy Czas pracy/Strefa czasowa : Standardowe polskie godziny pracy Technologie używane na projekcie: GCP, Terraform, Terragrunt, Jenkins, Bitbucket, TeamCity, Artifactory, Nessus, Prometheus, Packer, IaC, integracje on-prem (network + connectivity) Do Twoich głównych obowiązków na tym stanowisku należeć będzie: Obsługa zgłoszeń użytkowników (dev/admin) - analiza i rozwiązywanie problemów w środowisku GCP End-to-end onboarding użytkowników - konfiguracja zasobów, dostępów i modułów Utrzymanie i rozwój środowiska GCP - konfiguracja usług, wsparcie migracji z Azure Praca z Terraform / IaC - provisioning i automatyzacja infrastruktury Tworzenie i aktualizacja HLD - udział w projektowaniu rozwiązań platformowych Integracja cloud z on-prem - głównie w warstwie sieciowej i connectivity Tworzenie krótkich materiałów onboardingowych dla użytkowników Wsparcie i mentoring mniej doświadczonych użytkowników Współpraca z zespołami w modelu agile i DevOps Ta oferta będzie idealna dla Ciebie, jeśli posiadasz: Min. 1 rok doświadczenia z Terraform (IaC) Praktyczne doświadczenie w pracy z Google Cloud Platform (GCP) Znajomość zasad działania i utrzymania środowisk cloud (availability, reliability, scalability) Doświadczenie w integracji cloud ↔ on-prem (zwłaszcza networking/connectivity) Znajomość narzędzi CI/CD i automatyzacji: Jenkins / Bitbucket / TeamCity Terraform / IaC workflows Doświadczenie w pracy w modelu DevOps Umiejętność pracy z ticketami i prowadzenia zgłoszeń end-to-end Mile widziane Certyfikaty GCP (np. Associate Cloud Engineer, Professional Cloud Architect / Developer) Znajomość: Terragrunt, Artifactory, Nessus, Prometheus, Packer, API integrations Warto do nas dołączyć, ponieważ oferujemy: Dużą swobodę pracy zdalnej Długofalowe stabilne zatrudnienie Szansę na uczestniczenie w kluczowych projektach dla dużej firmy działającej w bardzo stabilnym sektorze Atrakcyjne wynagrodzenie (adekwatne do umiejętności i doświadczenia) Benefity (Lux Med, MultiSport...) W razie pytań pingnij śmiało na Linkedin'ie do Kuby

🏢 Summary: Senior Cloud Engineer role focused on developing and operating a global internal cloud platform built on Google Cloud and other major public cloud providers. The position involves infrastructure automation, platform scalability, and mentoring engineers while ensuring secure and compliant cloud solutions. This is a full-time, long-term hybrid role based in Warsaw. 🗂️ Requirements: 6+ years of hands-on experience with Google Cloud Platform, Degree in Computer Science, IT, or equivalent practical experience, Strong background in IT architecture and infrastructure design, Experience with infrastructure automation and provisioning, Hands-on experience with Terraform, Strong Python programming skills, Proficiency with Linux command line and shell scripting, Experience working in regulated environments, Experience with CI/CD pipelines, Advanced spoken and written English 📃 Skills: GCP, AWS, Azure, Terraform, Python, Linux, Bash, CI/CD, AzureDevOps, GitHub, GitHubActions 🏢 Description: 💰 Salary: 20,000-25,000 PLN per month 🏙️Hybrid: 1 day on-site/4 days remote (Office located in Warsaw) 🕦 Full-time position, long-term 📄Contract of Employment We're hiring a Senior Cloud Engineer for a major multinational enterprise running a worldwide internal cloud platform. The platform is built on top of the main public cloud providers (Google Cloud, AWS, Azure) and serves the whole organization as a core piece of its technology setup. Requirements: 6+ years of hands-on work with Google Cloud Platform (exposure to AWS or Azure is a plus) Degree in Computer Science, IT, or a related area, or matching practical engineering experience Solid background in IT architecture and design, with focus on infrastructure automation, provisioning, and upkeep Hands-on with Infrastructure as Code (Terraform) and strong Python skills Comfortable with Linux command line and shell scripting Experience building IT systems in regulated environments Working knowledge of CI/CD pipelines using Azure DevOps, GitHub Repos, and GitHub Actions Strong troubleshooting and analytical skills, including under time pressure Advanced spoken and written English Nice to Have: Background in API management or API design Past work in distributed, multicultural teams Key Responsibilities: Help plan, run, and grow the GCP cloud platform used across the company globally Guide and mentor a group of engineers as they roll out cloud solutions Partner with Squad Leads and other stakeholders to map technical work to business needs Make sure designs are scalable, stable, easy to maintain, and secure, in line with best practices and company strategy Write, update, and review documentation covering processes, standards, and team practices Keep open communication going across teams in different countries and time zones

🏢 Summary: Long-term Cloud Engineer / DevOps role focused on building and maintaining a new GCP environment (migration from Azure) in the Money Services sector. The position combines operational support, cloud platform design, and infrastructure automation using IaC. The role includes platform engineering, CI/CD integration, and cloud-to-on-prem networking within an agile DevOps team. 🗂️ Requirements: Minimum 1 year experience with Terraform (IaC), Practical experience with Google Cloud Platform (GCP), Knowledge of cloud environment principles: availability, reliability, scalability, Experience integrating cloud with on-prem systems, especially networking/connectivity, Experience with CI/CD tools (Jenkins, Bitbucket, TeamCity), Experience working in DevOps model, Ability to manage and resolve tickets end-to-end 📃 Skills: GCP, Terraform, Terragrunt, Jenkins, Bitbucket, TeamCity, Artifactory, Nessus, Prometheus, Packer, IaC, Azure, CI/CD, Networking, API 🏢 Description: W ITLT pomagamy naszym zaprzyjaźnionym firmom przekształcać ambitne pomysły w cyfrową rzeczywistość. Z nastawieniem na wyzwania, ciekawość technologii i zwinność - współtworzymy wyjątkowe rozwiązania IT. Aktualnie poszukujemy osób na stanowisko: Cloud Engineer / DevOps (GCP) Konkrety: Stawka: 110 - 130 PLN/h na FV Miejsce pracy/praca zdalna: Zapewniamy dużą swobodę pracy zdalnej, przy czym 2x/miesiąc zapraszamy do warszawskiego biura Wymiar pracy: Fulltime Sektor: Money Services Projekt: Nowo tworzone środowisko GCP (migracja z Azure) - brak legacy + możliwość współtworzenia standardów Rola łączy operacyjne wsparcie użytkowników + projektowanie i utrzymanie platformy cloud Praca ma charakter platformowy i reaktywny (ticket-based), z elementami projektowymi (HLD) oraz automatyzacyjnymi (IaC) Zespół: 6-8os. Proces rekrutacji: 1-etapowy (techniczne spotkanie zdalne), sporadycznie może się zdarzyć krótkie dodatkowe spotkanie z Managerem połączone z decyzją Szacowany czas trwania projektu: Długoterminowy Czas pracy/Strefa czasowa : Standardowe polskie godziny pracy Technologie używane na projekcie: GCP, Terraform, Terragrunt, Jenkins, Bitbucket, TeamCity, Artifactory, Nessus, Prometheus, Packer, IaC, integracje on-prem (network + connectivity) Do Twoich głównych obowiązków na tym stanowisku należeć będzie: Obsługa zgłoszeń użytkowników (dev/admin) - analiza i rozwiązywanie problemów w środowisku GCP End-to-end onboarding użytkowników - konfiguracja zasobów, dostępów i modułów Utrzymanie i rozwój środowiska GCP - konfiguracja usług, wsparcie migracji z Azure Praca z Terraform / IaC - provisioning i automatyzacja infrastruktury Tworzenie i aktualizacja HLD - udział w projektowaniu rozwiązań platformowych Integracja cloud z on-prem - głównie w warstwie sieciowej i connectivity Tworzenie krótkich materiałów onboardingowych dla użytkowników Wsparcie i mentoring mniej doświadczonych użytkowników Współpraca z zespołami w modelu agile i DevOps Ta oferta będzie idealna dla Ciebie, jeśli posiadasz: Min. 1 rok doświadczenia z Terraform (IaC) Praktyczne doświadczenie w pracy z Google Cloud Platform (GCP) Znajomość zasad działania i utrzymania środowisk cloud (availability, reliability, scalability) Doświadczenie w integracji cloud ↔ on-prem (zwłaszcza networking/connectivity) Znajomość narzędzi CI/CD i automatyzacji: Jenkins / Bitbucket / TeamCity Terraform / IaC workflows Doświadczenie w pracy w modelu DevOps Umiejętność pracy z ticketami i prowadzenia zgłoszeń end-to-end Mile widziane Certyfikaty GCP (np. Associate Cloud Engineer, Professional Cloud Architect / Developer) Znajomość: Terragrunt, Artifactory, Nessus, Prometheus, Packer, API integrations Warto do nas dołączyć, ponieważ oferujemy: Dużą swobodę pracy zdalnej Długofalowe stabilne zatrudnienie Szansę na uczestniczenie w kluczowych projektach dla dużej firmy działającej w bardzo stabilnym sektorze Atrakcyjne wynagrodzenie (adekwatne do umiejętności i doświadczenia) Benefity (Lux Med, MultiSport...) W razie pytań pingnij śmiało na Linkedin'ie do Kuby

🏢 Summary: Remote Mid/Senior Cloud Data Engineer role focused on building and optimizing enterprise-scale data platforms and pipelines using GCP, Azure, Snowflake, BigQuery, and related technologies. The position involves scalable batch and streaming architectures, modern data stack development, and collaboration on technical decisions for large organizations. Offers high B2B compensation, full remote work, cloud certification support, and work on advanced data engineering projects. 🗂️ Requirements: 3+ years of commercial experience in data engineering, Experience with GCP or Azure, Hands-on experience with BigQuery, Snowflake, or Databricks, Strong programming skills in Python or Java/Scala, Advanced SQL skills, Understanding of data modeling and scalable data architecture, Experience maintaining robust data pipelines, English level B2+, Communicative Polish 📃 Skills: GCP, Azure, Snowflake, BigQuery, Databricks, Python, Java, Scala, SQL, Airflow, Kafka, dbt, Spark, Terraform, Docker, Kubernetes, CI/CD, Pub/Sub, Dataflow, Flink 🏢 Description: Mid/Senior Cloud Data Engineer – GCP / Azure / BigQuery/ Snowflake 100% Remote B2B | Poland-based team Salary range: 20,000–30,000 PLN net + VAT / month About Datumo Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA. We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems. We are not a general software house doing everything for everyone. We focus on data. What you will work on You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include: designing, building and optimizing data pipelines in GCP and/or Azure; working with BigQuery, Snowflake or Databricks; using Python or JVM languages such as Java or Scala; working with SQL in complex data environments; developing scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping clients modernize their data platforms and move away from legacy solutions. What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala skills; strong SQL skills; experience with building and maintaining data pipelines; understanding of data modeling, data quality and scalable data architecture; good communication skills; English at B2+ level; Polish at a communicative level. Nice-to-have: Airflow; Kafka or other streaming technologies; dbt; Spark; Terraform; CI/CD experience; Docker and Kubernetes; experience with cloud cost optimization; experience in enterprise or long-term client projects; cloud certifications. Discover our exemplary projects: Petabyte-scale data platform migration to Google Cloud Migration of 1,000+ active pipelines to GCP. Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements and cloud resource optimization. Realtime Consumer Data Platform Consumer Data Platform for a major Polish retail company. Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery. Open-source components including Kafka, Airflow, Flink and Kubernetes. What we offer 100% remote work; B2B; salary range: 20,000–30,000 PLN net + VAT / month; 20 days off on B2B; onboarding with a mentor; training budget; support in cloud certifications; English lessons with a native speaker; private medical care; sports package; team integrations and company trips; possibility to change projects after some time; work with experienced engineers, not a random project team; long-term Big Data and Cloud projects for large organizations. Recruitment process We keep the process simple and technical: Soft Skills Interview (30 min): A short discussion about communication and teamwork. Technical Conversation (60 min): A deep-dive discussion with Datumo engineers about architecture and your past projects. Final Decision & Offer. Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on.

🏢 Summary: Remote Mid/Senior Cloud Data Engineer role focused on building and optimizing enterprise-scale data platforms and pipelines using GCP, Azure, Snowflake, BigQuery, and modern data stack technologies. The position involves data architecture, streaming and batch processing, coding in Python or JVM languages, and collaboration on cloud modernization projects for large organizations. The offer includes B2B compensation, certification support, mentorship, and fully remote work within a Poland-based team. 🗂️ Requirements: 3+ years of commercial experience in data engineering, Experience with GCP or Azure, Hands-on experience with BigQuery, Snowflake, or Databricks, Programming skills in Python or Java, Programming skills in Scala, Advanced SQL skills, Understanding of data modeling, Knowledge of scalable data architecture, Experience maintaining robust data pipelines, English level B2+, Communicative Polish 📃 Skills: GCP, Azure, Snowflake, BigQuery, Databricks, Python, Java, Scala, SQL, Airflow, Kafka, dbt, Spark, Terraform, Docker, Kubernetes, CI/CD, Dataflow, Pub/Sub, Flink, Cloud, ETL 🏢 Description: Mid/Senior Cloud Data Engineer – GCP / Azure / BigQuery/ Snowflake 100% Remote B2B | Poland-based team Salary range: 20,000–30,000 PLN net + VAT / month ☁️ About Datumo Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA. We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems. We are not a general software house doing everything for everyone. We focus on data. 💻 What you will work on You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include: designing, building and optimizing data pipelines in GCP and/or Azure; working with BigQuery, Snowflake or Databricks; using Python or JVM languages such as Java or Scala; working with SQL in complex data environments; developing scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping clients modernize their data platforms and move away from legacy solutions. 👀 What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala skills; strong SQL skills; experience with building and maintaining data pipelines; understanding of data modeling, data quality and scalable data architecture; good communication skills; English at B2+ level; Polish at a communicative level. Nice-to-have: Airflow; Kafka or other streaming technologies; dbt; Spark; Terraform; CI/CD experience; Docker and Kubernetes; experience with cloud cost optimization; experience in enterprise or long-term client projects; cloud certifications. 🚀 Discover our exemplary projects: Petabyte-scale data platform migration to Google Cloud Migration of 1,000+ active pipelines to GCP. Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements and cloud resource optimization. Realtime Consumer Data Platform Consumer Data Platform for a major Polish retail company. Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery. Open-source components including Kafka, Airflow, Flink and Kubernetes. ✅ What we offer 100% remote work; B2B; salary range: 20,000–30,000 PLN net + VAT / month; 20 days off on B2B; onboarding with a mentor; training budget; support in cloud certifications; English lessons with a native speaker; private medical care; sports package; team integrations and company trips; possibility to change projects after some time; work with experienced engineers, not a random project team; long-term Big Data and Cloud projects for large organizations. 📆 Recruitment process We keep the process simple and technical: Soft Skills Interview (30 min): A short discussion about communication and teamwork. Technical Conversation (60 min): A deep-dive discussion with Datumo engineers about architecture and your past projects. Final Decision & Offer. Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on.

🏢 Summary: Remote Mid/Senior Cloud Data Engineer role focused on building enterprise-scale data platforms and scalable batch/streaming pipelines using GCP, Azure, Snowflake, BigQuery, and Databricks. The position involves data architecture, coding, optimization, and collaboration on cloud modernization projects for large organizations. Offers flexible remote work, technical growth opportunities, and work with modern cloud and data technologies. 🗂️ Requirements: 3+ years of commercial experience in data engineering, Experience with GCP or Azure, Hands-on experience with BigQuery, Snowflake, or Databricks, Strong programming skills in Python or Java/Scala, Advanced SQL skills, Knowledge of data modeling and scalable data architecture, Experience maintaining robust data pipelines, English level B2+, Communicative Polish 📃 Skills: GCP, Azure, Snowflake, BigQuery, Databricks, Python, Java, Scala, SQL, Airflow, Kafka, dbt, Spark, Terraform, Docker, Kubernetes, CI/CD, Pub/Sub, Dataflow, Flink 🏢 Description: Mid/Senior Cloud Data Engineer – GCP / Azure / BigQuery/ Snowflake 100% Remote B2B | Poland-based team Salary range: 20,000–30,000 PLN net + VAT / month About Datumo Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA. We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems. We are not a general software house doing everything for everyone. We focus on data. What you will work on You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include: designing, building and optimizing data pipelines in GCP and/or Azure; working with BigQuery, Snowflake or Databricks; using Python or JVM languages such as Java or Scala; working with SQL in complex data environments; developing scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping clients modernize their data platforms and move away from legacy solutions. What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala skills; strong SQL skills; experience with building and maintaining data pipelines; understanding of data modeling, data quality and scalable data architecture; good communication skills; English at B2+ level; Polish at a communicative level. Nice-to-have: Airflow; Kafka or other streaming technologies; dbt; Spark; Terraform; CI/CD experience; Docker and Kubernetes; experience with cloud cost optimization; experience in enterprise or long-term client projects; cloud certifications. Discover our exemplary projects: Petabyte-scale data platform migration to Google Cloud Migration of 1,000+ active pipelines to GCP. Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements and cloud resource optimization. Realtime Consumer Data Platform Consumer Data Platform for a major Polish retail company. Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery. Open-source components including Kafka, Airflow, Flink and Kubernetes. What we offer 100% remote work; B2B; salary range: 20,000–30,000 PLN net + VAT / month; 20 days off on B2B; onboarding with a mentor; training budget; support in cloud certifications; English lessons with a native speaker; private medical care; sports package; team integrations and company trips; possibility to change projects after some time; work with experienced engineers, not a random project team; long-term Big Data and Cloud projects for large organizations. Recruitment process We keep the process simple and technical: Soft Skills Interview (30 min): A short discussion about communication and teamwork. Technical Conversation (60 min): A deep-dive discussion with Datumo engineers about architecture and your past projects. Final Decision & Offer. Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on.

🏢 Summary: Remote Mid/Senior Cloud Data Engineer role focused on building and optimizing enterprise-scale data platforms and pipelines using GCP, Azure, Snowflake, BigQuery, and modern data technologies. The position involves data architecture, scalable batch and streaming processing, software engineering, and collaboration with client-side technical teams. Offered on a B2B basis with full remote work, cloud certification support, and enterprise-level projects. 🗂️ Requirements: 3+ years of commercial experience in data engineering, Experience with GCP or Azure, Hands-on experience with BigQuery, Snowflake, or Databricks, Programming skills in Python or Java/Scala, Advanced SQL skills, Knowledge of data modeling and scalable data architecture, Experience maintaining robust data pipelines, English level B2+, Communicative Polish 📃 Skills: GCP, Azure, Snowflake, BigQuery, Databricks, Python, Java, Scala, SQL, Airflow, Kafka, dbt, Spark, Terraform, Docker, Kubernetes, CI/CD, PubSub, Dataflow, Flink 🏢 Description: Mid/Senior Cloud Data Engineer – GCP / Azure / BigQuery/ Snowflake 100% Remote B2B | Poland-based team Salary range: 20,000–30,000 PLN net + VAT / month About Datumo Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA. We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems. We are not a general software house doing everything for everyone. We focus on data. What you will work on You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include: designing, building and optimizing data pipelines in GCP and/or Azure; working with BigQuery, Snowflake or Databricks; using Python or JVM languages such as Java or Scala; working with SQL in complex data environments; developing scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping clients modernize their data platforms and move away from legacy solutions. What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala skills; strong SQL skills; experience with building and maintaining data pipelines; understanding of data modeling, data quality and scalable data architecture; good communication skills; English at B2+ level; Polish at a communicative level. Nice-to-have: Airflow; Kafka or other streaming technologies; dbt; Spark; Terraform; CI/CD experience; Docker and Kubernetes; experience with cloud cost optimization; experience in enterprise or long-term client projects; cloud certifications. Discover our exemplary projects: Petabyte-scale data platform migration to Google Cloud Migration of 1,000+ active pipelines to GCP. Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements and cloud resource optimization. Realtime Consumer Data Platform Consumer Data Platform for a major Polish retail company. Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery. Open-source components including Kafka, Airflow, Flink and Kubernetes. What we offer 100% remote work; B2B; salary range: 20,000–30,000 PLN net + VAT / month; 20 days off on B2B; onboarding with a mentor; training budget; support in cloud certifications; English lessons with a native speaker; private medical care; sports package; team integrations and company trips; possibility to change projects after some time; work with experienced engineers, not a random project team; long-term Big Data and Cloud projects for large organizations. Recruitment process We keep the process simple and technical: Soft Skills Interview (30 min): A short discussion about communication and teamwork. Technical Conversation (60 min): A deep-dive discussion with Datumo engineers about architecture and your past projects. Final Decision & Offer. Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on.

🏢 Summary: Remote Mid/Senior Cloud Data Engineer role focused on building and optimizing enterprise-scale data platforms and pipelines using GCP, Azure, Snowflake, BigQuery, and modern data stack technologies. The position involves scalable batch and streaming data engineering, cloud modernization, and collaboration on architecture and technical decisions. Offers B2B compensation, full remote work, cloud certification support, and work on large-scale data projects. 🗂️ Requirements: 3+ years commercial experience in data engineering, Experience with GCP or Azure, Experience with BigQuery, Snowflake, or Databricks, Strong Python, Java, or Scala programming skills, Advanced SQL skills, Knowledge of data modeling, Understanding of scalable data architecture, Experience maintaining robust data pipelines, English level B2+, Communicative Polish 📃 Skills: GCP, Azure, Snowflake, BigQuery, Databricks, Python, Java, Scala, SQL, Airflow, Kafka, dbt, Spark, Terraform, Docker, Kubernetes, CI/CD, Pub/Sub, Dataflow, Flink 🏢 Description: Mid/Senior Cloud Data Engineer – GCP / Azure / BigQuery/ Snowflake 100% Remote B2B | Poland-based team Salary range: 20,000–30,000 PLN net + VAT / month About Datumo Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA. We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems. We are not a general software house doing everything for everyone. We focus on data. What you will work on You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include: designing, building and optimizing data pipelines in GCP and/or Azure; working with BigQuery, Snowflake or Databricks; using Python or JVM languages such as Java or Scala; working with SQL in complex data environments; developing scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping clients modernize their data platforms and move away from legacy solutions. What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala skills; strong SQL skills; experience with building and maintaining data pipelines; understanding of data modeling, data quality and scalable data architecture; good communication skills; English at B2+ level; Polish at a communicative level. Nice-to-have: Airflow; Kafka or other streaming technologies; dbt; Spark; Terraform; CI/CD experience; Docker and Kubernetes; experience with cloud cost optimization; experience in enterprise or long-term client projects; cloud certifications. Discover our exemplary projects: Petabyte-scale data platform migration to Google Cloud Migration of 1,000+ active pipelines to GCP. Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements and cloud resource optimization. Realtime Consumer Data Platform Consumer Data Platform for a major Polish retail company. Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery. Open-source components including Kafka, Airflow, Flink and Kubernetes. What we offer 100% remote work; B2B; salary range: 20,000–30,000 PLN net + VAT / month; 20 days off on B2B; onboarding with a mentor; training budget; support in cloud certifications; English lessons with a native speaker; private medical care; sports package; team integrations and company trips; possibility to change projects after some time; work with experienced engineers, not a random project team; long-term Big Data and Cloud projects for large organizations. Recruitment process We keep the process simple and technical: Soft Skills Interview (30 min): A short discussion about communication and teamwork. Technical Conversation (60 min): A deep-dive discussion with Datumo engineers about architecture and your past projects. Final Decision & Offer. Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on.

🏢 Summary: Remote Mid/Senior Cloud Data Engineer role focused on building and optimizing enterprise-scale data platforms and pipelines using GCP, Azure, Snowflake, BigQuery, and related technologies. The position involves designing scalable batch and streaming solutions, coding in Python or JVM languages, and collaborating on cloud modernization and data architecture projects. The offer includes B2B compensation, full remote work, cloud certification support, and work on large-scale enterprise environments. 🗂️ Requirements: 3+ years of commercial experience in data engineering, Experience with GCP or Azure, Hands-on experience with BigQuery, Snowflake, or Databricks, Strong programming skills in Python, Java, or Scala, Advanced SQL skills, Knowledge of data modeling, Understanding of scalable data architecture, Experience maintaining robust data pipelines, English level B2+, Communicative Polish 📃 Skills: GCP, Azure, Snowflake, BigQuery, Databricks, Python, Java, Scala, SQL, Airflow, Kafka, dbt, Spark, Terraform, Docker, Kubernetes, CI/CD, Pub/Sub, Dataflow, Flink, Cloud, ETL 🏢 Description: Mid/Senior Cloud Data Engineer – GCP / Azure / BigQuery/ Snowflake 100% Remote B2B | Poland-based team Salary range: 20,000–30,000 PLN net + VAT / month About Datumo Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. We work with large organizations and enterprise-scale data environments. Our clients include companies such as Żabka Polska, G2A and LPP SA. We are one of only 10 Google Cloud Managed Partners in Poland. We are also an Azure Partner and Snowflake Partner, with strong experience in GCP, Azure, Snowflake and Databricks ecosystems. We are not a general software house doing everything for everyone. We focus on data. What you will work on You will help us design, build and improve data solutions for enterprise clients. Depending on the project, your work may include: designing, building and optimizing data pipelines in GCP and/or Azure; working with BigQuery, Snowflake or Databricks; using Python or JVM languages such as Java or Scala; working with SQL in complex data environments; developing scalable batch and streaming data processing solutions; improving data quality, performance, reliability and observability; working with orchestration, CI/CD and infrastructure tools; collaborating with architects, engineers and client-side teams; taking part in technical decisions, code reviews and solution design; helping clients modernize their data platforms and move away from legacy solutions. What we expect Must-have: at least 3 years of experience in data engineering; practical experience with at least one cloud platform: GCP or Azure; hands-on experience with at least one of the following: BigQuery, Snowflake or Databricks; strong Python or Java/Scala skills; strong SQL skills; experience with building and maintaining data pipelines; understanding of data modeling, data quality and scalable data architecture; good communication skills; English at B2+ level; Polish at a communicative level. Nice-to-have: Airflow; Kafka or other streaming technologies; dbt; Spark; Terraform; CI/CD experience; Docker and Kubernetes; experience with cloud cost optimization; experience in enterprise or long-term client projects; cloud certifications. Discover our exemplary projects: Petabyte-scale data platform migration to Google Cloud Migration of 1,000+ active pipelines to GCP. Rearchitecture of Spark applications to Cloud Dataproc or BigQuery SQL. Automation with Cloud Composer. Data analytics platform for an investing company Azure-based data platform with Databricks as the central component. Complex ETL processes enriching investment data with Spark jobs in Scala. External data integrations, data quality improvements and cloud resource optimization. Realtime Consumer Data Platform Consumer Data Platform for a major Polish retail company. Architecture based on GCP services such as Pub/Sub, Dataflow and BigQuery. Open-source components including Kafka, Airflow, Flink and Kubernetes. What we offer 100% remote work; B2B; salary range: 20,000–30,000 PLN net + VAT / month; 20 days off on B2B; onboarding with a mentor; training budget; support in cloud certifications; English lessons with a native speaker; private medical care; sports package; team integrations and company trips; possibility to change projects after some time; work with experienced engineers, not a random project team; long-term Big Data and Cloud projects for large organizations. Recruitment process We keep the process simple and technical: Soft Skills Interview (30 min): A short discussion about communication and teamwork. Technical Conversation (60 min): A deep-dive discussion with Datumo engineers about architecture and your past projects. Final Decision & Offer. Sounds like a good fit? Apply and tell us briefly what kind of data engineering projects you have worked on.

🏢 Summary: Hybrid Cloud Engineer (GCP) role focused on owning and evolving a global enterprise cloud platform using Infrastructure as Code. The position involves designing, deploying and maintaining scalable, secure and reliable cloud solutions while collaborating with engineering teams and mentoring others. 🗂️ Requirements: 6+ years of hands-on experience with GCP, Strong experience with Terraform and Infrastructure as Code, Experience in complex cloud and on-prem environments, Proficiency in Python, Proficiency with Linux command line, Experience with CI/CD pipelines, English level B2 or higher 📃 Skills: GCP, Terraform, IaC, Python, Linux, GitHub, GitHubActions, AzureDevOps, CI/CD 🏢 Description: Cloud Engineer (GCP) | Hybrid(4 remote days,1 office day), Warsaw You will: Take ownership of the platform used in projects across a global enterprise Design, develop and deploy infrastructure as code using Terraform and GitHub Drive platform reliability, ensuring solutions are scalable, secure and maintainable Collaborate closely with Platform Engineering, Cloud Architects and development teams Mentor engineers and provide technical guidance across the team Create and maintain documentation, standards and best practices You bring: 6+ years of hands-on GCP experience Strong Terraform/IaC skills and experience in complex cloud + on-prem environments Proficiency in Python and Linux command line Experience with CI/CD pipelines (GitHub Actions, Azure DevOps) English B2+