Senior Data Engineer (Azure)

About the Position

We are seeking a Senior Data Engineer (Azure) to support the Data & Analytics function of a leading global insurance company.

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

Requirements

• 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

Nice to Have

• 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

We Offer

• Opportunity to work with a global team on challenging and rewarding projects
• Collaborative and inclusive work environment
• Career growth and development opportunities

About the Company

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.

Locations

• Ho Chi Minh City, VN, 700000
• Hanoi, VN, 10000

Work Location Type

• Hybrid

(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)