About this role
Who We Are
Our client is a world-leading reinsurance and risk management company, delivering comprehensive solutions across insurance, underwriting, and data-driven risk assessment. With a strong focus on innovation and long-term stability, they support clients in addressing complex risks and driving sustainable value in an ever-changing global landscape.
What you'll be doing
- Design, develop, and maintain robust data and database solutions, focusing on performance, scalability, reliability, and data integrity.
- Develop and optimize complex SQL queries, database structures, and data processing logic to support high-performance applications and data workloads.
- Design and maintain data models and database schemas, ensuring efficient storage, access, and processing of data.
- Analyze and optimize database performance, including queries, execution plans, indexing strategies, and data access patterns.
- Build and maintain data pipelines and integration workflows across different systems and data sources.
- Work with Azure data and database services to develop scalable cloud-based data solutions and integrations.
- Support the design and evolution of cloud data architectures, ensuring high availability, security, and efficient data processing.
- Troubleshoot complex database and data-related performance issues, performing root cause analysis and implementing sustainable solutions.
- Ensure data integrity, consistency, security, and appropriate access controls across data platforms.
- Collaborate closely with Data Engineers, architects, developers, and other technical teams to design and implement effective data solutions.
- Contribute to technical documentation, including database designs, data models, integration specifications, and operational guidelines.
- Work within Agile Scrum teams, contributing to continuous improvement and technical excellence.
What you'll bring along
- Bachelor’s degree in Informatics, Computer Science, or a related field, or equivalent practical experience.
- Minimum 5 years of experience in Database Engineering, Data Engineering, or similar data-focused roles.
- Strong expertise in SQL, including complex queries, performance tuning, and optimization.
- Strong understanding of relational databases, database architecture, data modeling, indexing strategies, and query optimization.
- Experience with PostgreSQL or other enterprise relational database technologies.
- Hands-on experience with Azure Data Factory (ADF) for data integration and orchestration.
- Familiarity with Azure Databricks and modern cloud data platforms.
- Experience designing and maintaining high-performance and scalable database and data solutions.
- Experience with data pipelines, data integration, and ETL/ELT processes.
- Good understanding of data security, access management, data integrity, and high-availability concepts.
- Experience analyzing execution plans and troubleshooting complex database and data-processing issues.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work independently while collaborating effectively with architects, developers, and data engineering teams.
- A great teammate who thrives in a collaborative and Agile environment.
- Excellent command of both spoken and written English.
- Experience with Oracle Database and PL/SQL is nice to have
- Experience with Python for data processing, scripting, or automation is nice to have
- Experience with database and data pipeline monitoring and automation tools is nice to have
- Exposure to data architecture, cloud migration, or large-scale enterprise data platforms is nice to have