Permanent
Hybrid
Bratislava, Slovakia
€2,400 – €4,100 gross/month + Bonus
The employer is the world’s leading and most diversified global provider of reinsurance and insurance-based risk transfer.
Your Key Responsibilities
Full Lifecycle Engineering: Lead the design, implementation, and operation of data solutions, managing everything from business requirements to deployment and maintenance.
Platform Migration: Play a pivotal role in evolving our mission-critical platform by migrating from legacy Oracle to a modern Azure-based architecture.
Data Pipeline Optimization: Develop and optimize high-performance data models, transformations, and integrations using modern engineering practices.
Scalability & Reliability: Solve complex technical challenges regarding data consistency, performance optimization, and system reliability at a global scale.
Production Ownership: Take full accountability for your solutions in production, including supporting releases and ensuring long-term operational health.
Standard Excellence: Actively contribute to the continuous improvement of our engineering standards, tooling, and best practices.
Your Profile: Essentials
Data & Warehouse Expertise: Strong understanding of data modeling, ETL processes, and core data warehousing concepts.
Python & Frameworks: Solid hands-on experience with Python for data engineering, including modern frameworks like Pandas, Polars, or PySpark.
Database Mastery: Expert SQL skills and experience with relational databases (ideally Postgres), including schema design and performance optimization.
Production Pipelines: Proven track record of building, operating, and owning production-grade data pipelines end-to-end.
DevOps & Automation: Experience designing CI/CD pipelines with integrated automated testing and quality controls.
Technical Translation: Excellent communication skills with the ability to bridge the gap between business requirements and technical implementation.
Nice to Have
Reporting & BI: Exposure to MSBI, Power BI, or other enterprise-level reporting solutions.
Scheduling & Ops: Familiarity with batch scheduling tools (e.g., UC4, Tidal, Control-M) and cloud-native environments like Kubernetes.
Modern Development: Experience with Angular or other frontend technologies and a solid grasp of Agile practices.
AI-Driven Engineering: Active use of AI-supported development tools (Copilots, agentic workflows) to enhance productivity and code quality.
Financial Reward: A competitive salary and an attractive performance-based bonus.
Work-Life Balance: Ultra-flexible working hours and a hybrid office/home-office model.
Additional Time Off: 5 additional days of holiday and comprehensive sick leave support.
Health & Wellness: A Multisport card and health-related benefits.
Support: Pension and risk insurance contributions, alongside a fully paid lunch allowance.
Modern Workspace
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