Data Engineer – Recovery Data Management

Responsibilities:

• Gather, analyse, and translate business requirements into effective data solutions

• Design, develop, and maintain scalable data models and resilient data pipelines

• Take end-to-end ownership of deliveries, from initial requirements through implementation, testing, and production deployment

• Build and enhance data solutions using SQL, Python, Snowflake, dbt, and Airflow

• Integrate data from enterprise APIs and other internal and external data sources

• Drive automation and apply modern engineering practices, including CI/CD and automated testing

• Ensure high standards of stability, reliability, performance, and long-term maintainability of delivered solutions

• Work independently, proactively identify improvements, and quickly build domain knowledge within the Recovery data area

Requirements:

• Minimum 4 years of professional experience in Data Engineering and Data Warehousing

• Strong hands-on experience with SQL and Python

• Practical experience working 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, including Git, CI/CD, automated testing, and DevOps ways of working

• Ability to work independently and take ownership of solutions from concept to production

• Fluency in English (both written and spoken)