Senior Data Integration Engineer
Designs and maintains data pipelines and analytics models using Azure Data Factory, dbt Core, and Snowflake to support reporting and decision-making in a unified ERP environment.
- Compensation
- Not disclosed
- Location
- Ukraine
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- 5+ years of experience in data engineering roles
- Proficiency in SQL and data modeling (star schema, snowflake schema)
- Hands-on expertise in Azure Data Factory, dbt Core, and Snowflake
- Familiarity with GitHub workflows and CI/CD pipelines
- Background in ETL/ELT design, data quality frameworks, and performance optimization
- Basic experience with Power BI and data visualization
- Capability to perform data analysis and interpret business requirements
- Flexibility to work in agile product mode across multiple squads, with exposure to agile methodologies and product-centric delivery
- Excellent communication and collaboration skills
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Nice to have
- Experience in data governance, metadata management, and data security
- Knowledge of cloud architecture and cost optimization
Full description
We are looking for an experienced Senior Data Integration Engineer to join our data squads and contribute to a strategic, multi-squad initiative focused on Data & Analytics. This initiative aims to upgrade the organizational backbone to a unified ERP, reengineer processes, and build on a unified data platform to enable advanced analytics, reporting, and data-driven decision-making.
In this role, you will design, build, and maintain robust data pipelines and models using a modern tech stack, while contributing BI development and data analysis expertise to support end-to-end data solutions in an agile, product-oriented environment.
Responsibilities
- Design, develop, and optimize data pipelines using Azure Data Factory for orchestration
- Implement dbt Core for data transformation and modeling
- Create and maintain dimensional and relational data models for analytics and reporting
- Ensure data quality, consistency, and governance across squads
- Work with Snowflake for data storage and computation, including performance tuning
- Use GitHub for version control, branching strategies, and CI/CD automation
- Participate in agile ceremonies (stand-ups, sprint planning, retrospectives)
- Collaborate closely with product owners, data analysts, and BI developers
- Assist in creating semantic layers and supporting BI tools, mainly Power BI
- Perform exploratory data analysis and provide insights when needed
- Maintain clear documentation for pipelines, models, and processes
- Adhere to coding standards and best practices
Requirements
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
- 5+ years of experience in data engineering roles
- Proficiency in SQL and data modeling (star schema, snowflake schema)
- Hands-on expertise in Azure Data Factory, dbt Core, and Snowflake
- Familiarity with GitHub workflows and CI/CD pipelines
- Background in ETL/ELT design, data quality frameworks, and performance optimization
- Basic experience with Power BI and data visualization
- Capability to perform data analysis and interpret business requirements
- Flexibility to work in agile product mode across multiple squads, with exposure to agile methodologies and product-centric delivery
- Excellent communication and collaboration skills
- Proficiency in English at an Upper-Intermediate level (B2) or higher
Nice to have
- Experience in data governance, metadata management, and data security
- Knowledge of cloud architecture and cost optimization
Benefits
With us you can: