Would you like to be part of an exciting highly qualified team of professionals in an international environment?
We are currently looking for a qualified Data engineers
Join an international division and work alongside with some of the most talented engineers and technicians from all over the world.
Your benefits:
Competitive Salary.
Long-term secure contract.
International Project with top technologies
Possibility of working remotely with a flexible schedule.
Integration in a highly qualified team of professionals.
Travel abroad with your project.
Specialized training and continuous professional development.
Social benefits and flexible compensation plan.
We are seeking a Data Engineer to contribute to the development and delivery of modern data products in close collaboration with domain teams and cross-functional stakeholders.
This role is focused on hands‐on implementation within a managed service setup. The consultant will support the building, governing, and operating of data products across the lifecycle, from ingestion to serving, while working under defined standards and guidance from senior team members.
ResponsibilitiesDesign and Development of Data Pipelines
Build and maintain ELT/ETL pipelines in cloud environments
Develop transformations using dbt following defined modeling patterns
Implement and enforce data contracts
Integrate multiple data sources across domains
Data Product Development
Deliver source-aligned and analytical data products
Define SLAs and acceptance criteria
Produce structured technical documentation
Create operational runbooks
DataOps and Automation
Implement CI/CD pipelines for data workloads
Develop automated testing (unit, integration, data quality tests)
Enable monitoring and observability
Manage version control and continuous deployment
Governance and Quality
Apply Data Mesh standards and best practices
Implement data quality controls
Ensure lineage and traceability
Optimize and control cloud costs
Cross-functional Collaboration
Work closely with domain teams
Participate in pair programming sessions
Provide structured knowledge transfer
Contribute to Program Increment (PI) planning and delivery ceremonies
Requeriments2–5 years of experience in Data Engineering.
Minimum 2-5 previous assignments.
Mandatory proven delivery of pipelines and data products on:
AWS
Snowflake
Dbt
Azure
Witboost
Dreamio
Proficiency in dbt and modern ELT/ETL practices.
Experience with CI/CD and automated testing in data environments.
Familiarity with Data Mesh environments.
Familiarity with DataOps principles in production environments.
Basic understanding of data governance, data contracts, and modeling patterns.
We positively value all work or study experience abroad.
All positions require a high level of English (at least B2) - please send your detailed CV in English.
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