Senior Data Engineer (Azure)
GFT · Hanoi, Vietnam · On site · September 28, 2026
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About GFT
GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions, modernize technology architectures and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential. With deep industry expertise, cutting-edge technology, and a strong partner ecosystem, GFT delivers responsible AI-centric solutions that combine engineering excellence, high-performance delivery and cost efficiency. Our team of 12,000+ technology experts operates in 20+ countries worldwide offering career opportunities at the forefront of software.
Role Summary
We are looking for a Senior Data Engineer to support the Data & Analytics function of a leading global insurance company.
The role is responsible for designing, developing, and maintaining scalable data pipelines and data solutions within a Microsoft Azure and Databricks environment. The successful candidate will work closely with data, analytics, AI, and business teams to integrate data from multiple sources and make it available for analytics, reporting, and AI use cases.
The ideal candidate has strong hands-on experience with Databricks, Azure, SQL, Python/PySpark, and modern cloud-based data engineering practices, with the ability to independently deliver reliable and maintainable data solutions.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and data processing workflows using Azure and Databricks
Build data ingestion, transformation, and integration processes across multiple data sources
Develop and maintain ETL/ELT pipelines supporting analytics, reporting, and AI use cases
Develop data processing solutions using SQL, Python, and PySpark
Design and optimize datasets and data models for efficient downstream consumption
Perform data validation and implement data quality checks to ensure accuracy and reliability
Monitor, troubleshoot, and optimize data pipelines and processing performance
Collaborate with Data Analysts, AI Engineers, architects, and business stakeholders to understand data requirements
Support deployment and productionization of data solutions
Maintain clear technical documentation covering data flows, transformations, dependencies, and business rules
Follow appropriate engineering, security, data governance, and development standards
Required Skills & Experience
At least 5 years of experience in Data Engineering, Data Platform Engineering, or a similar role
Strong hands-on experience with Microsoft Azure and Databricks
Strong SQL skills, including complex queries, data transformations, and query optimization
Strong practical experience with Python and/or PySpark
Proven experience designing and implementing ETL/ELT pipelines
Experience working with large datasets and integrating data from multiple sources
Good understanding of data modelling, data quality, and data integration principles
Experience working with cloud-based data platforms and modern data architectures
Good understanding of software engineering practices, version control, testing, and CI/CD
Strong analytical and problem-solving skills
Ability to work independently and collaborate effectively with both technical and business stakeholders
Preferred Qualifications
Experience within insurance, financial services, or another regulated industry
Knowledge of additional Azure data services and cloud data architecture
Experience working with data lakes, lakehouse architectures, and enterprise data platforms
Familiarity with data governance, metadata, lineage, and data security principles
Exposure to Databricks Genie and AI-enabled data and analytics capabilities
Experience supporting data platforms used for AI/ML or Generative AI workloads
Experience working in Agile delivery environments
Key Behavioral Expectations
Strong ownership and ability to deliver with limited supervision
High attention to data quality, reliability, and maintainability
Strong analytical and troubleshooting mindset
Clear communication with both technical and non-technical stakeholders
Pragmatic, collaborative, and delivery-focused approach
Ability to operate effectively within a complex enterprise environment
(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)
- Employer
- GFT
- Location
- Hanoi, Vietnam · On site