ABOUT THE JOB
- Design and implement robust data pipelines and ETL processes to integrate data from diverse sources
- Optimize data processing and query performance for scalable and efficient operations
- Establish and maintain data quality controls, governance policies, and security measures to protect sensitive information
- Collaborate with data scientists, analysts, and business stakeholders to translate data needs into technical solutions
- Develop and maintain technical documentation and training materials in line with company data lifecycle standards
- Monitor and support ETL jobs and data workflows across multiple platforms (ADF, Databricks, Kafka, Power BI, etc.)
- Stay current with emerging technologies and best practices in data engineering to drive innovation
- Ensure compliance with internal and external data management regulations
ABOUT YOU
- Bachelor’s degree in Computer Science, Data Engineering, or a related field
- 4+ years experience as a Data Engineer or in a similar role, ideally within the insurance or financial services sector
- Hands-on experience with Azure Databricks, Spark, and data lake architectures
- Strong expertise in SQL (SQL Server, Spark SQL, Databricks SQL, T-SQL) and programming skills in Python and PySpark; exposure to Scala is a plus
- Experience with ETL tools such as Azure Data Factory, IBM DataStage, and Airflow
- Familiarity with CI/CD pipelines using Azure DevOps and Git source control
- Proficiency in building and optimizing Power BI dashboards and reports
- Knowledge of data governance, data quality controls, and security requirements
- Good ciommunication skill in English is a plus
- Demonstrate strong analytical, communication, and teamwork skills, with the ability to excel in high-pressure environments
BENEFIT
- Competitive salary
- Flexible working time: 8 hours/day from Monday to Saturday. You can work a fixed 6 hours from 8:00 PM-2:00 AM, remaining 2 hours arranged by yourself during the day
- Salary payment every 2 weeks. (Transfer on the 1st and 15th of every month).
- Project bonus and salary review according to the work quality