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