Senior Data Engineer

We are looking for a Senior Data Engineer to join an experienced technical team working on modern data platforms and large-scale data processing.
The role combines data architecture, ETL, data warehousing, and big data / real-time pipelines, with solutions running both on-premises and in the cloud.

What you’ll do
Design and implement data models for complex data environments
Develop and maintain ETL/ELT processes
Build and optimize big data and real-time data pipelines
Work with data platforms across on-premises and cloud environments
Design and implement solutions for data warehousing and data movement
Work with relational databases and large datasets
Optimize queries and data processing workflows
Develop data engineering solutions using SQL and Python
Collaborate with other engineers and technical stakeholders on data architecture and implementation

Requirements
3–5+ years of experience in Data Engineering
Strong experience with database technologies and data architecture
Hands-on experience with Oracle — especially relevant for this role
Experience with data warehousing
Experience with ETL and data movement technologies
Excellent SQL skills
Strong Python development skills
Experience building big data and/or real-time data pipelines
Understanding of both on-premises and cloud-based data environments
Strong analytical and problem-solving skills
Fluent English — required for daily communication

Education
Master’s degree in Computer Science or a comparable technical qualification

What you’ll work with
Oracle and other database technologies
SQL
Python
ETL / ELT
Data warehousing
Big Data pipelines
Real-time data processing
On-premises and cloud infrastructure

What We Offer
Paid vacation and sick leave
Equipment to work comfortably, if required
50% coverage of professional development courses
Regular salary reviews based on performance
Competitive salary, depending on experience
Always on-time payments — no delays
A supportive team without unnecessary bureaucracy