Data Engineer

We are looking for an experienced Data Engineer to join our Group Data & Analytics team. In this role, you will play a key part in designing, building, and maintaining data pipelines, integrations, and the enterprise data platform (DWH) that supports business processes across Finance, Logistics, HR, PLM, and partner integrations.
We expect a strong command of SQL, hands-on ETL/ELT experience, and the ability to design scalable data solutions for a distributed international organization.

Key Responsibilities:

• Design, develop, and maintain ETL/ELT processes for Finance, HR, Logistics, PLM, and partner integrations.

• Build and optimize data pipelines (SQL, Airflow, Python) for both structured and unstructured data.

• Develop and maintain the enterprise data warehouse (MS SQL Server) using best practices in data modeling (Kimball, Data Vault).

• Integrate data from multiple sources (ERP IT4Profit, IBM DB2, partner APIs, 3PL providers, CSV/XLSX/XML/JSON).

• Collaborate with cross-functional teams (Finance, Logistics, HR, PLM) to analyze requirements and implement technical solutions.

• Support and enhance microservices and API integrations.

• Ensure data quality, consistency, and high performance across environments.

• Document solutions and processes in Confluence, and manage tasks in Jira.

Requirements:

• Strong SQL expertise (MS SQL Server, PostgreSQL, IBM DB2).

• Hands-on experience with ETL/ELT tools (Airflow, SSIS, Python pipelines).

• Solid understanding of data modeling techniques (Kimball, Data Vault).

• Experience working with REST APIs and Python microservices.

• Knowledge of data exchange formats (CSV, JSON, XML, etc.).

• Experience with version control systems (Git).

Soft Skills:

• Ability to work effectively in a distributed international team.

• Excellent communication skills for collaboration with business stakeholders.

• Ownership of the full development cycle — from requirements gathering to production deployment.

• Strong documentation skills (Confluence, diagrams, data flow schemes).

• Experience with ERP/WMS/PLM systems.

• Participation in data integration projects (Finance, Logistics, HR, partner APIs).

• Experience supporting reporting and BI systems.

Nice to Have:

• Knowledge of RAG/LLM integrations for data automation and search.

• Experience with Docker and CI/CD pipelines (GitLab CI/CD).

• Familiarity with data visualization tools (Power BI, Superset).

We Offer:

• Work in a financially stable, fast-growing international company.

• Continuous collaboration with global teams of professionals .

• International career opportunities .

• Access to continuous professional development: training, certifications, events, and team-building activities.

• Competitive compensation package.

• Gifts for special occasions, corporate awards and bonuses for long-term service.
  
  The position has been posted in anticipation of its official opening. We’ll be glad to review applications in advance to build a pool of strong candidates.