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.

• 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

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

• Git Lab (version control)
• Basic CLI usage
• AI tools (e.g., Git Hub Copilot)

• Experience with BI and visualization tools (Tableau, SAP BI) and their interaction with data warehouses
• Jenkins experience

• 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).