remote
Senior Data Engineer - Insurance
Data Engineer
Senior Data Engineer with expertise in cloud platforms (AWS, Azure), CI/CD pipelines, and DataOps practices to design, build, and maintain scalable data solutions for the insurance sector.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines and ETL processes on AWS and Azure environments.
- Implement CI/CD workflows to automate deployment, testing, and monitoring of data solutions.
- Collaborate with data scientists, analysts, and business stakeholders to translate insurance domain requirements into scalable data architectures.
- Apply DataOps best practices to ensure data quality, reliability, and governance across the data lifecycle.
- Optimize data storage and processing performance using SQL, Python, and cloud-native services.
Requirements
- 5+ years of professional experience in data engineering, preferably within the insurance or financial services industry.
- Strong hands‑on experience with AWS (e.g., S3, Redshift, Glue) and Azure (e.g., Data Lake, Synapse).
- Proficiency in building CI/CD pipelines using tools such as GitLab CI, Azure DevOps, or Jenkins.
- Solid programming skills in Python and SQL for data transformation and automation.
- Demonstrated ability to apply DataOps principles and work in cross‑functional agile teams.
Skills
awsazurecicdpythonsql