Mid/Senior Cloud Data Engineer (GCP / Azure / Snowflake / BigQuery) 100% Remote

🏢 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 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: The offer is for a Data Engineer role focused on designing, building, and optimizing scalable data platforms and pipelines in cloud environments. The position involves working with big data technologies, data warehousing solutions, and distributed processing frameworks across international projects. The role emphasizes high-quality delivery through automated testing, CI/CD, and close collaboration with business stakeholders. 🗂️ Requirements: Minimum 3 years of commercial programming experience, Experience with at least one cloud provider: GCP, Azure or AWS, Knowledge of JVM language (Scala or Java or Kotlin), Knowledge of Python, Knowledge of SQL, Experience with data warehousing solution: BigQuery or Snowflake or Databricks or similar, Understanding of big data concepts: storage, modeling, processing, scheduling, Experience in data modeling, Experience in data storage solutions, Experience with automated testing and CI/CD, Experience with code review practices, Experience in collaboration with business stakeholders, English proficiency at B2 level, Communicative Polish 📃 Skills: GCP, Azure, AWS, Scala, Java, Kotlin, Python, SQL, BigQuery, Snowflake, Databricks, Spark, Dataproc, CloudComposer, PubSub, Dataflow, Kafka, Airflow, Flink, Kubernetes, Docker, BigData, CI/CD, ETL 🏢 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. Our 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! Must-have: ✅ at least 3 years of commercial experience in programming ✅ proven record with a selected cloud provider GCP (preferred), Azure or AWS ✅ good knowledge of JVM languages (Scala or Java or Kotlin), Python, SQL ✅ experience in one of data warehousing solutions: BigQuery/Snowflake/Databricks or similar ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc. ✅ data modeling and data storage experience ✅ ensuring solution quality through automatic tests, CI/CD and code review ✅ proven collaboration with businesses ✅ English proficiency at B2 level, communicative in Polish Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka 🌟 familiarity with Apache Airflow or similar pipeline orchestrator 🌟 another JVM (Java/Scala/Kotlin) programming language 🌟 experience in Machine Learning projects 🌟 understanding of Apache Spark or similar distributed data processing framework 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau 🌟 willingness to share knowledge (conferences, articles, open-source projects) What’s on offer: 🔥 100% remote work, with workation opportunity 🔥 20 free days 🔥 onboarding with a dedicated mentor 🔥 project switching possible after a certain period 🔥 individual budget for training and conferences 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card 🔥 opportunity to learn English with a native speaker 🔥 regular company trips and informal get-togethers Development opportunities in Datumo: 🚀 participation in industry conferences 🚀 establishing Datumo's online brand presence 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake) 🚀 involvement in internal initiatives, like building technological roadmaps 🚀 training budget 🚀 access to internal technological training repositories Discover our exemplary project: 🔌 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. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data 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. 🛒 Realtime Consumer Data Platform The initiative involves constructing a 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. Recruitment process: 1️⃣Quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 Summary: The offer is for a Data Engineer responsible for building and optimizing scalable data platforms in cloud environments, mainly on Google Cloud Platform and Azure. The role focuses on designing big data solutions, developing ETL processes, and working with distributed data processing frameworks across international projects. It includes full remote work and opportunities for continuous technical development. 🗂️ Requirements: 3-4 years of commercial programming experience, Experience with Google Cloud Platform, Strong knowledge of Python, Strong knowledge of SQL, Strong knowledge of Scala or Java or Kotlin, Experience with BigQuery, Understanding of big data storage, modeling, processing and scheduling, Experience with Apache Spark or similar framework, Experience in data modeling and data storage, Experience with automated testing, CI/CD and code review, Experience collaborating with business stakeholders, English proficiency at minimum B2 level, Proficiency in Polish 📃 Skills: Python, SQL, Scala, Java, Kotlin, GCP, BigQuery, Spark, CI/CD, Git, Azure, Databricks, Kafka, Airflow, Docker, Kubernetes, dbt, PubSub, Dataflow, Flink 🏢 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. Our 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! Must-have: ✅ at least 3-4 years of commercial experience in programming, ✅ proven record with a cloud provider - Google Cloud Platform, ✅ strong knowledge of Python, SQL and JVM languages (Scala or Java or Kotlin), ✅ experience in BigQuery data warehousing solution, ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc., ✅ understanding of Apache Spark (or similar distributed data processing framework), ✅ data modeling and data storage experience, ✅ ensuring solution quality through automatic tests, CI/CD and code review, ✅ proven collaboration with businesses, ✅ English proficiency at min. B2 level, proficient in Polish. Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka, 🌟 familiarity with Apache Airflow or similar pipeline orchestrator, 🌟 another JVM (Java/Scala/Kotlin) programming language, 🌟 experience in Machine Learning projects, 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau, 🌟 willingness to share knowledge (conferences, articles, open-source projects). What’s on offer: 🔥 100% remote work, with workation opportunity, 🔥 20 free days, 🔥 onboarding with a dedicated mentor, 🔥 project switching possible after a certain period, 🔥 individual budget for training and conferences, 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card, 🔥 opportunity to learn English with a native speaker, 🔥 regular company trips and informal get-togethers. Development opportunities in Datumo: 🚀 participation in industry conferences, 🚀 establishing Datumo's online brand presence, 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake), 🚀 involvement in internal initiatives, like building technological roadmaps, 🚀 training budget, 🚀 access to internal technological training repositories. Discover our exemplary project: 🔌 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. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data 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. 🛒 Realtime Consumer Data Platform The initiative involves constructing a 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. Recruitment process: 1️⃣Tech quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 Summary: The offer is for a Data Engineer responsible for designing and developing scalable data platforms and pipelines in cloud environments, primarily on Google Cloud Platform. The role focuses on big data processing, data modeling, and building high-quality data solutions using modern distributed frameworks. The position involves working on advanced cloud-based analytics and data warehousing projects. 🗂️ Requirements: 3-4 years commercial programming experience, Experience with Google Cloud Platform, Strong knowledge of Python, Strong knowledge of SQL, Proficiency in JVM language (Scala or Java or Kotlin), Experience with BigQuery, Understanding of big data processing and storage, Experience with Apache Spark or similar framework, Experience in data modeling, Experience with CI/CD pipelines, Experience with automated testing, Experience with code review practices 📃 Skills: Python, SQL, Scala, Java, Kotlin, GCP, BigQuery, Spark, JVM, BigData, DataModeling, CICD, Testing, CodeReview 🏢 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. Our 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! Must-have: ✅ at least 3-4 years of commercial experience in programming, ✅ proven record with a cloud provider - Google Cloud Platform, ✅ strong knowledge of Python, SQL and JVM languages (Scala or Java or Kotlin), ✅ experience in BigQuery data warehousing solution, ✅ in-depth understanding of big data aspects like data storage, modeling , processing , scheduling etc., ✅ understanding of Apache Spark (or similar distributed data processing framework), ✅ data modeling and data storage experience, ✅ ensuring solution quality through automatic tests, CI/CD and code review, ✅ proven collaboration with businesses, ✅ English proficiency at min. B2 level, proficient in Polish. Nice to have: 🌟 knowledge of dbt, Docker and Kubernetes, Apache Kafka, 🌟 familiarity with Apache Airflow or similar pipeline orchestrator, 🌟 another JVM (Java/Scala/Kotlin) programming language, 🌟 experience in Machine Learning projects, 🌟 familiarity with one of BI tools: Power BI/Looker/Tableau, 🌟 willingness to share knowledge (conferences, articles, open-source projects). What’s on offer: 🔥 100% remote work with workation opportunity (you need to be based in Poland), 🔥 20 free days, 🔥 onboarding with a dedicated mentor, 🔥 project switching possible after a certain period, 🔥 individual budget for training and conferences, 🔥 benefits: Medicover Private Medical Care , co-financing of the Medicover Sport card, 🔥 opportunity to learn English with a native speaker, 🔥 regular company trips and informal get-togethers. Development opportunities in Datumo: 🚀 participation in industry conferences, 🚀 establishing Datumo's online brand presence, 🚀 support in obtaining certifications (e.g. GCP, Azure, Snowflake), 🚀 involvement in internal initiatives, like building technological roadmaps, 🚀 training budget, 🚀 access to internal technological training repositories. Discover our exemplary project: 🔌 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. ☁️ Petabyte-scale data platform migration to Google Cloud The goal of the project is to improve scalability and performance of the data platform by transitioning over a thousand active pipelines to GCP. The main focus is on rearchitecting existing Spark applications to either Cloud Dataproc or Cloud BigQuery SQL, depending on the Client’s requirements and automate it using Cloud Composer. 📈 Data 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. 🛒 Realtime Consumer Data Platform The initiative involves constructing a 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. Recruitment process: 1️⃣Tech quiz - 15 minutes 2️⃣ Soft skills interview - 30 minutes 3️⃣ Technical interview - 60 minutes Find out more by visiting our website - https://www.datumo.io If you like what we do and you dream about creating this world with us - don’t wait, apply now!

🏢 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: B2B contract role for a Cloud/Data Engineer focused on cloud transformation from on-premise databases to BigQuery within GCP. The position involves developing and orchestrating data environments using Python, PySpark and SQL in a fully remote model. Initial 6‑month project with potential long-term extension. 🗂️ Requirements: 3-4 years experience as Cloud or Data Engineer, Strong experience with Python and PySpark, Hands-on experience with Google Cloud Platform, Experience with BigQuery, Proficiency in SQL, Experience in cloud data migration projects, Ability to design and orchestrate data workflows 📃 Skills: Python, PySpark, GCP, BigQuery, SQL 🏢 Description: Dla naszego klienta, jednej z największych na świecie firm doradczych, świadczących szeroki zakres usług w zakresie doradztwa biznesowego, audytu, doradztwa podatkowego oraz usług związanych z zarządzaniem ryzykiem i konsultingiem poszukujemy osoby na stanowisko Cloud/Data Engineera . Kluczowe zadania Wsparcie transformacji chmurowej z lokalnej bazy danych do środowiska BigQuery Rozwój środowisk w GCP z wykorzystaniem Python i SQL Planowanie i orkiestracja zadań Programowanie w Python Idealny profil kandydata Około 3-4 lata doświadczenia na podobnym stanowisku/ w poniższych technologiach: Python + PySpark Google Cloud (GCP) + BigQuery SQL Warunki współpracy Model pracy: w pełni zdalny (raz na kwartał może być wymagany krótki wyjazd służbowy na kilka dni) Start: ASAP (18 marca 2026) Czas trwania projektu: 6 miesięcy z możliwością przedłużenia do długotrwałej współpracy Forma zatrudnienia: B2B Stawka: 140-150 PLN/h do negocjacji Benefity: opieka medyczna, ubezpieczenie na życie, karta Multisport Etapy rekrutacji Rozmowa telefoniczna z rekruterem Rozmowa kwalifikacyjna z klientem Informacja zwrotna i decyzja