TL;DR

Data Engineer (Data Analytics): Build and maintain scalable data integration pipelines and solutions for global clients with an accent on client-facing collaboration and cloud data technologies. Focus on designing, implementing, and optimizing ETL processes while ensuring excellent customer support and communication.

Location: Hybrid work environment in Bucharest, Romania

Company

%hirify_global% is a fast-growing B2B SaaS company from Finland specializing in procurement analytics, serving large global clients and processing significant spend data.

What you will do

Gather requirements and design data integration pipelines for new and existing clients
Implement and update scalable data integration solutions
Provide excellent customer support and communication throughout ETL processes
Collaborate with cross-functional teams to ensure seamless integration and deployment
Monitor, maintain, and optimize existing data pipelines

Requirements

Must have hands-on experience as a Data Engineer or similar role
Proficiency in SQL
Experience with major cloud platforms (Azure, AWS, or GCP)
Hands-on skills in Azure Data Factory and Azure Databricks are highly advantageous
Strong English communication and customer support skills
Detail-oriented with logical thinking and troubleshooting abilities

Nice to have

Experience with Microsoft SSIS, SQL Server, and Python
Background in data engineering, integration, analysis, or ERP consulting
Procurement domain knowledge

Culture & Benefits

Hybrid work environment with office in Afi Park 1, Bucharest
International and diverse culture with global colleagues and clients
Supportive team focused on growth and development
Flexible benefits including private medical subscription, equity program, referral bonus, and extra vacation days
Freedom and responsibility in work

Hiring process

Continuous application review until January 10th, 2026
Interviews starting in January after holiday season