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

Datumo is a Big Data & Cloud company specializing in data platforms, data engineering, cloud modernization and practical AI solutions. They are looking for a Mid/Senior Cloud Data Engineer to design, build and improve data solutions for enterprise clients, working with GCP, Azure, BigQuery, Snowflake, Databricks, Python/Java/Scala, and SQL.

• 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

• 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
• 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

• 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