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

Quick Facts

• 100% remote work on B2B
• Salary: 20,000–30,000 PLN net + VAT per month
• Poland-based team

What you will work on

You will 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

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 on B2B
• Salary range: 20,000–30,000 PLN net + VAT per month
• 20 days off
• 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
• Long-term Big Data and Cloud projects for large organizations

Recruitment process

• Soft Skills Interview (30 min): a short discussion about communication and teamwork
• Technical Conversation (60 min): a deep-dive discussion about architecture and past projects
• Final Decision & Offer