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).

Location
World-wide