Senior Data Engineer (MLOps)

🏢 Summary: Senior Data Engineer role focused on large-scale migration from SQL Server to Databricks/Delta Lake, transforming complex SQL logic into production-grade Python/PySpark solutions. The position centers on enterprise-level data engineering, data modeling, and software development within a Medallion Architecture. The project involves redesigning and implementing scalable data solutions for thousands of databases in a long-term transformation initiative. 🗂️ Requirements: Very strong Python skills, Very strong PySpark skills, Proven experience with Databricks, Proven experience with Delta Lake, Strong SQL skills and ability to understand complex stored procedures, Experience working with large, shared codebases, Solid object-oriented programming knowledge, Strong data modeling experience (transactional and analytical), Experience in platform/data migration projects, Knowledge of Medallion Architecture (Bronze/Silver/Gold), Experience with large-scale data processing, Very good English skills, EU citizenship, Residence in Poland 📃 Skills: Python, PySpark, Databricks, DeltaLake, SQL, OOP, DataModeling, MedallionArchitecture, AzureDataFactory, AzureDevOps, Git, CI/CD, PowerBI 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking an experienced Senior Data Engineer with Python and Databricks. This role supports a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform. The focus is on enterprise-grade data engineering and software development , not analytics or reporting. The project is SQL2Databricks migration, it involves 3500-4000 SQL DBs (2TB), replicating data in different shapes/ schemas to Databricks. Project information: Type of project: IT Services Office location: Poland Work model: Remote from Poland Budget: 140 - 160 PLN net/ h - b2b Project length: till the end of 2026, possible to extend it Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP Project scope: Support a large-scale transformation from SQL Server–based systems to a Databricks / Delta Lake platform Transform complex, business-critical SQL logic (stored procedures) into clean, maintainable, and scalable Python / PySpark code Redesign and implement this logic in Python / PySpark within Databricks Contribute to a large, long-running data engineering codebase used by multiple teams Develop production-grade transformation code (packages, modules, reusable components) Design and evolve data models within a Medallion Architecture (Bronze / Silver / Gold) across multiple data layers Ensure software engineering quality, reusability, and long-term maintainability Apply software engineering best practices (clean code, OOP, modularization, refactoring) Work with very large data volumes and highly parallel, event-driven transformations Actively participate in code reviews and technical design discussions Support orchestration workflows (e.g., Azure Data Factory) Competence demands: Very strong Python and PySpark skills; proven experience with Databricks and Delta Lake Experience working in large, shared codebases (beyond notebooks) Strong SQL skills, especially reading and understanding complex logic Solid object-oriented programming experience, clean code principles Strong data modelling background (transactional and analytical) Experience in redesigning models during platform migrations Familiarity with layered data architectures (Bronze / Silver / Gold) Very good English skills Nice to have: Azure Data Factory (orchestration) Azure DevOps, Git, CI/CD pipelines Power BI or analytics tooling Infrastructure / DevOps knowledge (not mandatory) We offer: Remote working model Dynamic and innovation-driven engineering environment Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance

🏢 Summary: B2B Senior Test Engineer role focused on ensuring quality, reliability, and performance of Azure-based Data Hubs and data pipelines, with emphasis on automated testing and big data validation. The position involves building test frameworks, validating ETL workflows, and integrating testing into CI/CD processes. Work is hybrid with regular on-site presence in Warsaw. 🗂️ Requirements: Strong expertise in Python, Strong expertise in PySpark, Strong expertise in SQL, Experience with test automation frameworks, Experience with Azure Data Services (Databricks, Data Factory, Storage Accounts), Experience in testing big data pipelines and ETL workflows, Hands-on experience with CI/CD tools, Knowledge of data governance and data quality frameworks, Ability to work in Agile/Scrum environment 📃 Skills: Python, PySpark, SQL, Azure, Databricks, DataFactory, AzureDevOps, Jenkins, CI/CD, ETL, BigData, DevOps 🏢 Description: contract: B2B rate: 145 pln/h + VAT mode: 2x a month from the office, Warsaw As a Senior Test Engineer, you will be responsible for ensuring the quality, reliability, and performance of Data Hubs and data processing pipelines in Azure & Databricks. You will develop automated test frameworks, conduct regression testing, and validate large-scale data processing workflows. How you will get the job done ·       designing, developing, and maintaining automated test frameworks for data processing and orchestration. ·       conducting regression, performance, and scalability testing for data ingestion and transformation. ·       implementing data quality validation and anomaly detection in Azure-based data pipelines. ·       collaborating with Data Engineers and DevOps teams to integrate testing into CI/CD pipelines. ·       ensuring compliance with data security, governance, and privacy standards. ·       defining test strategies, best practices, and documentation for Data & AI solutions Skills and experience you will need ·       strong expertise in Python, PySpark, SQL, and test automation frameworks. ·       experience with Azure Data Services (Databricks, Data Factory, Storage Accounts). ·       proficiency in testing big data pipelines, distributed systems, and ETL workflows. ·       hands-on experience with CI/CD tools (Azure DevOps, Jenkins) and test automation. ·       strong understanding of data governance, quality frameworks, and monitoring tools. ·       excellent problem-solving skills and ability to work in Agile/Scrum environments. Nice to Have ·       experience with ML model validation and AI pipeline testing ·       familiarity with data lineage tracking and metadata management tools

🏢 Summary: Full-time Senior MLOps Engineer role focused on designing and managing Azure-based AI/ML infrastructure for global SaaS environments. The position involves building scalable cloud platforms, optimizing CI/CD pipelines, automating ML lifecycle processes, and leading enterprise AI solutions using Azure services. The role combines hands-on DevOps, cloud engineering, and AI platform development in a rapidly evolving environment. 🗂️ Requirements: Solid experience designing and managing infrastructure for AI/ML or HPC workloads, Proven experience managing and optimizing CI/CD for Azure-based SaaS applications, Hands-on experience with Azure DevOps and standard DevOps tools, Strong scripting skills in PowerShell or Bash, Experience with Terraform or similar configuration management tools, Working knowledge of version control systems, Experience in agile software development environments, Knowledge of SQL and NoSQL databases, Experience with web server configuration (IIS or Tomcat), Understanding of networking technologies (switches, routers, firewalls, VPNs), Strong understanding of security principles, Bachelor’s Degree in Computer Science or related field 📃 Skills: Azure, AzureDevOps, PowerShell, Bash, Terraform, Git, SQL, NoSQL, IIS, Tomcat, Docker, TensorFlow, PyTorch, Scikit-learn, ARM, Ansible, AzureCLI, AzureOpenAI, AzureAIFoundry, AzureDatabricks, AzureDataFactory, AzureServiceBus, AzureRedisCache, AzureMonitoring, NewRelic, Rapid7, CI/CD, YAML 🏢 Description: Svitla Systems Inc. is looking for a Senior MLOps Engineer with ML/AI for Azure for a full-time position (40 hours per week) in Poland. Our client is a leading global provider that gathers information and reports to enhance the environmental and social impacts on the business. You’ll be part of a global team supporting multiple SaaS environments that help make the world a safer place. The team uses Azure as the core, but hosts on various platforms due to specific needs and the rapid pace of development and acquisition. The environment is rapidly shifting from IaaS to PaaS to serverless, with new AI/ML components integrated. So you’ll need to apply your current skill sets and learn new things daily to push the business forward. While you’ll ultimately need a diversity of expert-level skills to succeed, having a deep understanding and experience in just a couple of areas (monitoring, scripting, automation tools, etc.) may get you in the door to a great career. Requirements: Solid experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Proven success in managing and optimizing CI/CD for an Azure-based SaaS application. Hands-on experience with standard DevOps tools, including Azure DevOps. Expertise in scripting with at least PowerShell or Bash. Understanding of configuration management tools like Terraform. Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads. Working knowledge of version control/source code management tools. Experience working in an agile software development life cycle. Knowledge of databases, including SQL and NoSQL Strong knowledge of web server configuration and management, such as IIS or Tomcat. Familiarity with local and wide area networking and associated technologies, e.g., switches, routers, firewalls, VPNs. Strong understanding of security principles. Bachelor’s Degree in Computer Science or a similar area of study. Experience working in a technical, fast-paced environment with high demand and high standards. Ability to assimilate information quickly under pressure. Excellent communication and collaboration skills. Ability to communicate effectively with multiple disciplines. Excellent analytical skills with the ability to drive reliability improvements. Strong planning skills to ensure business expectations are met, and projects are delivered on time. Nice to have: Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments. Familiarity with cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc.). Strong understanding of CI/CD (YAML and Classic Pipelines). Experience with PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks). Experience in monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc). Some experience with containers/Docker, either for a microservice-based architecture or Service Oriented, etc. Familiarity with Git, ARM, Terraform, Ansible, Azure CLI, or similar. Responsibilities: Support application infrastructure to ensure the platform is optimized for performance and reliability. Build and maintain supporting infrastructure for cloud environments and applications. Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle. Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness. Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow), Use a wide range of Azure resources to implement scalable, reliable, and cost-efficient services. Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems. Perform and automate system administration services, including installation, configuration, maintenance, and disaster recovery Identify system-level issues related to OS configuration and virtual hardware bottlenecks. Provide automation, auditing, and other tooling for security, compliance, and resource usage. Monitor and improve processes for all deployments. Take ownership of operational excellence to establish and maintain business focused KPI's. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team's success. Maintain and take ownership of your tasks each sprint, ensuring time worked is logged, and details are added. We offer: US and EU projects based on advanced technologies. Competitive compensation based on skills and experience. Regular performance appraisals to support your growth. Flexibility in the workspace, either remote or in our welcoming office. Comprehensive medical insurance after one month. MultiSport card with access to 2500 sports facilities all over Poland Bonuses for recommendations of new employees. Bonuses for article writing, public talks, and other activities. 15 vacation days, 10 national holidays, 10 sick leaves, and family days off. Personalized learning program tailored to your interests and skill development. Free tech webinars and meetups organized by Svitla. Welcome and anniversary presents, gifts for children, and more. Regular corporate events and meetups. Awesome team, friendly and supportive community! Ref #5102

🏢 Summary: Senior Data Engineer role in the banking sector focused on building scalable Big Data solutions supporting Financial Crime Prevention processes. The position involves developing distributed data pipelines and streaming applications using Spark and Scala in a Continuous Delivery environment. It is a long-term hybrid project with an immediate start. 🗂️ Requirements: Senior-level experience in Big Data and ETL, Senior-level Scala proficiency, Senior-level Spark and Spark SQL expertise, Strong SQL knowledge, Experience with Data Testing, Practical experience with distributed large-scale data systems 📃 Skills: Scala, Spark, SparkSQL, SQL, ETL, BigData, DataTesting 🏢 Description: 📍 Location: Gdańsk / Gdynia / Warsaw (hybrid) 🚀 Start: ASAP 💶 Rate: 35–45 EUR/h About the role We are looking for a Senior Data Engineer to work on a long-term project for a leading client in the banking industry . In this role, you will implement complex data requirements and build scalable solutions that support the client’s Financial Crime Prevention processes . Responsibilities Build distributed Big Data processing pipelines handling large volumes of structured and unstructured data in near real-time Develop streaming applications connecting multiple internal and external data sources Transform and enrich data with Apache Spark for analytics, visualization, and search Deliver clean, high-quality datasets for downstream systems Work closely with DevOps, QA, and Product teams in a Continuous Delivery environment Requirements Experience with Big Data / ETL / SQL / Data Testing (Senior level) Senior-level Scala Senior-level Spark and Spark SQL Practical experience with distributed, large-scale data systems Recruitment process First interview: Conversation with our Talent Team Technical interview: Discussion with one of our developers Final interview: Meeting with the CTO

🏢 Summary: Remote Senior DevOps Engineer role focused on modernizing and scaling a cloud-native Data & AI Platform. The position involves refactoring AWS and Airflow infrastructure, implementing Infrastructure as Code for Snowflake, and building next-generation workflow orchestration. The role also supports CI/CD automation and infrastructure for Data Science, ML, and AI systems. 🗂️ Requirements: Strong experience with AWS, Strong experience with Terraform, Hands-on experience with Apache Airflow, Experience with CI/CD tools (GitLab, GitHub Actions, Jenkins), Experience with Snowflake and Infrastructure as Code, Knowledge of modern workflow orchestration tools (Prefect, Dagster, Temporal), Experience supporting Data Science, ML, or AI platforms 📃 Skills: AWS, Terraform, Airflow, Snowflake, GitLab, GitHubActions, Jenkins, Prefect, Dagster, Temporal, CI/CD, IaC, Python 🏢 Description: Senior DevOps Engineer (Data Platform & AI) 📍 Remote from Poland We are looking for a Senior DevOps Engineer to support the evolution of our Data & AI Platform. Key responsibilities: • Refactoring AWS-based Data Platform infrastructure • Refactoring and optimization of Apache Airflow infrastructure • CI/CD runner setup and automation • Infrastructure setup for Data Science and ML pipelines • Infrastructure as Code (Terraform) for Snowflake environments • Design and implementation of a next-generation workflow engine to replace Airflow • Infrastructure setup for AI systems, including MCP servers Requirements: • Strong AWS and Terraform experience • Hands-on experience with Airflow infrastructure • CI/CD expertise (GitLab, GitHub Actions, Jenkins) • Experience with Snowflake and Infrastructure as Code • Understanding of modern workflow orchestration tools (Prefect, Dagster, Temporal, etc.) • Experience supporting Data Science, ML, or AI platforms Nice to have: • GCP / BigQuery exposure • Experience with LLM or AI infrastructure This is an opportunity to build and modernize a cloud-native data platform while helping shape the future AI infrastructure of the organization.

🏢 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.