Data Engineer
Introduct Group is an international technology company delivering tailored software solutions and digital products for businesses worldwide. We work on complex, large-scale projects across multiple industries, helping clients turn ideas into reliable, scalable systems.
Our client is one of the world’s leading logistics companies undergoing a major digital transformation. The project focuses on building modern Data Products on a cloud-based stack using Snowflake, Dagster, and dbt, as well as migrating existing Oracle-based data solutions. The role includes designing and maintaining data pipelines, implementing transformations, ensuring data quality, and delivering trusted data to BI layers.
Responsibilities
- Develop and maintain Data Products on a modern cloud stack (Snowflake, Dagster, dbt)
- Support migration of legacy Oracle-based data solutions to cloud architecture
- Design, build, and optimize ETL/ELT data pipelines
- Implement and manage data orchestration workflows (Dagster)
- Design and evolve data warehouse and data mart models
- Perform data transformation and ensure data quality and consistency
- Validate transformed data against business rules and operational KPIs
- Collaborate with business stakeholders to translate requirements into data structures
- Support CI/CD processes for data pipelines and deployments
- Monitor, troubleshoot, and improve data platform performance
Requirements
Data Warehousing
- Strong SQL skills (complex analytical queries, DDL/DML, performance tuning)
- Snowflake — intermediate to advanced level
- Oracle — ability to read and understand existing schemas and business logic (required for migration tasks)
Data Modeling
- Experience designing and implementing data models (dimensional modeling, Data Marts, etc.)
- Understanding of layered data architecture (staging, integration, presentation layers)
- Ability to translate business requirements into scalable data structures
Data Analysis & Validation
- Experience with data profiling and exploratory data analysis (EDA)
- Strong analytical skills to investigate data anomalies, gaps, and inconsistencies
- Ability to validate transformed data against business rules and KPIs
Programming
- Python — production-level code development
Orchestration & Transformation
- Dagster — workflow orchestration
- dbt-core + dbt-snowflake — data transformation
Cloud & Infrastructure
- Basic AWS knowledge
- Experience with CI/CD pipelines
- Flyway (database migration versioning)
Additional Tools
- GitLab (version control)
- Basic CLI usage
- AI tools (e.g., GitHub Copilot)
Nice to Have
- Experience with BI and visualization tools (Tableau, SAP BI) and their interaction with data warehouses
- Jenkins experience
What we offer
- Competitive salary
- Flexible remote working schedule, with the opportunity to work on high-profile global projects.
- Diverse, multinational team serving clients in over 10 countries.
- Optional English classes for language proficiency enhancement.
- Dedicated learning budget for courses and certifications to support professional development (after successful completion of the probation period).
- Necessary equipment provided for optimal performance (in Ukraine).