Data Engineer (Recovery Data Management)

Quick Facts

• Role: Data Engineer – Recovery Data Management

Description

You will gather, analyze, and translate business requirements into effective data solutions for the Recovery data area. You will design, develop, and maintain scalable data models and resilient data pipelines, owning deliveries from requirements through implementation, testing, and production deployment. You will build solutions using SQL, Python, Snowflake, dbt, and Airflow, integrating data from enterprise APIs and other internal/external sources.

Responsibilities

• Translate business requirements into data solutions
• Design, develop, and maintain scalable data models and resilient data pipelines
• Take end-to-end ownership from requirements to implementation, testing, and production deployment
• Build and enhance data solutions with SQL, Python, Snowflake, dbt, Airflow
• Integrate data via enterprise APIs and other internal/external sources
• Automate engineering work using modern practices, including CI/CD and automated testing
• Ensure stability, reliability, performance, and long-term maintainability
• Proactively identify improvements and build domain knowledge in Recovery data

Requirements

• Minimum 4 years of professional experience in Data Engineering and Data Warehousing
• Strong hands-on experience with SQL and Python
• Practical experience with Snowflake, dbt, and Airflow
• Strong understanding of data modelling and experience designing scalable and resilient data pipelines
• Experience with API integrations and modern data architecture principles
• Good understanding of software engineering practices (Git, CI/CD, automated testing, DevOps)
• Ability to work independently and take ownership from concept to production
• Fluency in English (written and spoken)

Benefits

Not specified in the provided posting.