Digis, a Fiverr company (NYSE: FVRR)
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Digis, a Fiverr company (NYSE: FVRR)
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise platforms, and AI-powered solutions worldwide.
We partner with companies from the US, UK, and EU to build long-term distributed development teams. Our engineers work directly with strong technical teams on the client side and enjoy transparency, stability, and modern engineering practices.
About the Project Cloud consulting team working with global clients on deploying, optimizing, and managing cloud infrastructure with a strong focus on
GCP ,
Kubernetes , and
automation .
The team is growing due to increasing demand for infrastructure automation and large-scale GCP migration initiatives.
Requirements
5+ years
of experience as a Data Engineer
2+ years
of commercial experience with
GCP
Why You Will Enjoy Working Here
Remote-first company with a cloud-native culture
Direct hands‑on work with GCP
Modern tech stack and infrastructure‑first approach
Stable long‑term engagement with a growing team
Clear processes and strong engineering culture
Responsibilities
Design & Execute Migration Strategy:
Lead the end‑to‑end data migration process, including BI integrations (e.g., AWS Quicksight → BigQuery) and thorough pipeline testing.
Refactor Legacy Pipelines:
Redesign complex Spark/PySpark transformation logic into GCP‑native services (Dataproc Serverless, Dataflow, BigQuery SQL).
Migrate Data Models:
Manage migration of a large‑scale data warehouse with 60+ interconnected DBT models, ensuring full logical and functional parity.
Ensure Data Integrity:
Build a comprehensive validation framework to ensure data accuracy between Databricks and BigQuery.
Infrastructure as Code:
Develop and maintain GCP infrastructure using Terraform.
Automate & Deploy:
Set up automated testing and deployment pipelines via GitLab CI/CD.
Mentor & Support:
Guide mid‑level engineers with comparative queries, DBT model testing, and documentation of validation results.
Drive Technical Decisions:
Contribute to PoC‑stage architectural decisions (lift‑and‑shift vs. full native refactoring).
We Offer
20 paid vacation days per year
5 paid sick leaves per year (no medical documents required)
Personalized development plan with clear self‑development goals
Compensation for job‑related training
Work tools (PC, laptop, monitor) and workplace arrangement if needed
Assistance with and compensation for English courses
Flat, transparent internal communication
Ability to switch between projects and technologies within the company
Accounting support
Free corporate psychologist services
If this role sounds like a good match, send over your CV, and we’ll share additional details about the project.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Other
Industries Software Development
Warsaw, Mazowieckie, Poland
#J-18808-Ljbffr
Direct message the job poster from Digis, a Fiverr company (NYSE: FVRR)
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise platforms, and AI-powered solutions worldwide.
We partner with companies from the US, UK, and EU to build long-term distributed development teams. Our engineers work directly with strong technical teams on the client side and enjoy transparency, stability, and modern engineering practices.
About the Project Cloud consulting team working with global clients on deploying, optimizing, and managing cloud infrastructure with a strong focus on
GCP ,
Kubernetes , and
automation .
The team is growing due to increasing demand for infrastructure automation and large-scale GCP migration initiatives.
Requirements
5+ years
of experience as a Data Engineer
2+ years
of commercial experience with
GCP
Why You Will Enjoy Working Here
Remote-first company with a cloud-native culture
Direct hands‑on work with GCP
Modern tech stack and infrastructure‑first approach
Stable long‑term engagement with a growing team
Clear processes and strong engineering culture
Responsibilities
Design & Execute Migration Strategy:
Lead the end‑to‑end data migration process, including BI integrations (e.g., AWS Quicksight → BigQuery) and thorough pipeline testing.
Refactor Legacy Pipelines:
Redesign complex Spark/PySpark transformation logic into GCP‑native services (Dataproc Serverless, Dataflow, BigQuery SQL).
Migrate Data Models:
Manage migration of a large‑scale data warehouse with 60+ interconnected DBT models, ensuring full logical and functional parity.
Ensure Data Integrity:
Build a comprehensive validation framework to ensure data accuracy between Databricks and BigQuery.
Infrastructure as Code:
Develop and maintain GCP infrastructure using Terraform.
Automate & Deploy:
Set up automated testing and deployment pipelines via GitLab CI/CD.
Mentor & Support:
Guide mid‑level engineers with comparative queries, DBT model testing, and documentation of validation results.
Drive Technical Decisions:
Contribute to PoC‑stage architectural decisions (lift‑and‑shift vs. full native refactoring).
We Offer
20 paid vacation days per year
5 paid sick leaves per year (no medical documents required)
Personalized development plan with clear self‑development goals
Compensation for job‑related training
Work tools (PC, laptop, monitor) and workplace arrangement if needed
Assistance with and compensation for English courses
Flat, transparent internal communication
Ability to switch between projects and technologies within the company
Accounting support
Free corporate psychologist services
If this role sounds like a good match, send over your CV, and we’ll share additional details about the project.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Other
Industries Software Development
Warsaw, Mazowieckie, Poland
#J-18808-Ljbffr