Senior Data & Database Engineer (SQL)

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