🟢 Are you in Brazil, Argentina or Colombia? Join us as we actively recruit in these locations, offering a comfortable remote environment. Submit your CV in English, and we'll get back to you!
We invite a Senior Data Engineer to play a key part in a large-scale data modernization effort for a major enterprise client. You’ll lead the Data Engineering team in migrating and transforming complex legacy data pipelines to a modern custom-built cloud environment for improved scalability, maintainability, and compliance. You’ll also collaborate closely with architects, DevOps, QA, and product stakeholders to deliver scalable, reliable data solutions that meet unique business needs.
🟩 What's in it for you:
- Join a fully integrated delivery team built on collaboration, transparency, and mutual respect
- Lead a skilled Data Engineering team through high-impact data platform transformation in a production environment
- Work hands-on with modern, in-demand technologies like GCP, Snowflake, Apache Iceberg, dbt, Airflow, Dataflow, and BigQuery
- Gain hands-on experience with Google Landing Zones
✅ Is that you?
- 5+ years in data engineering and data warehouse modeling
- Strong proficiency in designing and building ETL for large data volumes and streaming solutions
- Expert-level SQL skills and experience in Snowflake and Apache Iceberg tables
- Hands-on experience with GCP services (BigQuery, GCS, Airflow, Dataflow, Dataproc, Pub/Sub)
- Proficiency in Python for ETL scripting and DAG development
- Experience using dbt for data transformation and orchestration
- Familiarity with CI/CD processes and tools (Git, Terraform, Serverless)
- Degree in Computer Science, Data Engineering, Information Systems, or related fields
- Strong leadership skills with proven experience guiding technical teams
- Strong communication and collaboration abilities
- Upper-Intermediate+ English level
Desirable:
- Experience building and managing streaming data pipelines and event-driven architectures
- Experience writing Bash scripts
- Experience with Java for Dataflow jobs
- Familiarity with data lakehouse architectures using Iceberg tables
- Proficiency with Docker for containerizing data pipelines and supporting orchestration
- Familiarity with AI-assisted tools like GitHub Copilot
🧩Key responsibilities and your contribution
In this role, you’ll combine hands-on engineering work with team leadership responsibilities to drive the team’s success and ensure smooth and timely project delivery.
- Review and analyze existing ETL solutions for migration to the new architecture
- Design, optimize, and migrate batch and streaming data pipelines to the GCP Landing Zone
- Build and manage data transformations with dbt, supporting ELT pipelines in Snowflake
- Ensure the new data infrastructure meets performance and quality SLAs/SLOs
- Implement monitoring and alerting for pipelines to ensure system fault tolerance
- Develop migration scripts to transfer historical data to Iceberg tables
- Act as a liaison between the technical team and the client to ensure clear communication
- Break down complex tasks into smaller, manageable technical deliverables for the team
- Proactively identify risks and take steps to mitigate them
🎾 What's working at Dev.Pro like?
Dev.Pro is a global company that's been building great software since 2011. Our team values fairness, high standards, openness, and inclusivity for everyone — no matter your background
🌐 We are 99.9% remote — you can work from anywhere in the world
🌴 Get 30 paid days off per year to use however you like — vacations, holidays, or personal time
✔️ 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
⚡️ Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
💵 We pay in U.S. dollars and cover all approved overtime
📓 Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events
Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Client interview — ✅ Offer
Interested? Find out more:
📋How we work
💻 LinkedIn Page
📈 Our website
💻IG Page