Data Engineer (Banking Domain)
Quận Hai Bà Trưng, Hà Nội (On-site)
Nghỉ trọn T7, CN
Hạn chót 03/12/2026
Đăng 9 ngày trước
Ít hơn 5 ứng viên
Yêu cầu công việc
● Bachelor’s Degree in Computer Science, Engineering, or a related field
● Solid experience (typically 2+ years equivalent) in data engineering using Python, SQL, Spark / PySpark
● Solid understanding of digital banking data domains (T24 data, mobile transactions, banking products, app events, customer behavioral, corporate banking flows)
● Proven hands-on experience with Google Cloud Platform (GCP), particularly BigQuery as a core data warehouse/lakehouse solution
● Strong background in building and operating big data pipelines, including real-time/ near-real-time processing with Spark, Spark Streaming, or equivalent frameworks
● Practical experience with real-time streaming technologies (Spark Streaming, Flink, Kafka Streams) and workflow orchestration (Airflow)
● Proficiency in debt for data transformations, Python/PySpark development, and modern data warehouse/lakehouse approaches
● Expertise in scalable data modeling — Data Vault 2.0 strongly preferred (or demonstrated success delivering agile, auditable enterprise data models such as medallion or lakehouse patterns)
● Familiarity with data governance, lineage practices, and compliance requirements in a regulated banking environment
● Experience designing, developing, and optimizing RESTful APIs and/or GraphQL APIs (including schema design, performance tuning, versioning, security, rate limiting, and integration with mobile/web frontends or microservices)
● Experience leveraging AI copilots and hands-on familiarity with AI agents (e.g., GitHub, Copilot, Claude Code, OpenClaw, ...) to accelerate development, code review, and pipeline automation.
Yêu cầu nên có
Expertise in Data Vault 2.0
Công việc cụ thể là gì?
● Collaborate with Agile product teams (mobile, digital banking, corporate banking, and customer insight) to design, develop, test, implement, and support full-stack data solutions that directly impact millions of mobile banking users
● Design and evolve our enterprise Data Platform with Data Vault 2.0 as the foundational modeling methodology while delivering high-quality, trusted data layers in Google Cloud
● Build high-throughput, low-latency real-time and batch data pipelines to power behavioral analytics, next-best-action recommendations, and seamless customer experiences
● Create scalable ingestion, transformation, quality enforcement, and serving layers that feed our Next-Gen Mobile Banking App and other Digital Banking platform products
● Ensure enterprise-grade data quality, governance, lineage, security, and compliance in a highly regulated environment
● Optimize pipelines for performance, cost-efficiency, reliability, and scalability on Google Cloud Platform (GCP)
● Mentor junior and mid-level data engineers, conduct design reviews, and leverage DataOps best practices (CI/CD, automated testing, observability)
● Partner closely with mobile app teams, data scientists, and business stakeholders to translate digital banking requirements into production-grade data products.
• Ngày làm việc: T2 - T6 • Giờ làm việc: 08:30 - 17:30 • Cấp bậc: Nhân viên (associate) • Loại công việc: Toàn thời gianQuyền lợi có gì?
Lương thưởng
Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company
Regulations.
Bảo hiểm & sức khoẻ
Full participation in social insurance, as well as a yearly health checkup at a reputable
hospital.
Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth,
illness, etc.
Học hỏi & phát triển
Opportunities for capacity development, as well as assistance with professional
certification expenses, are available to those who work in the field (1 million - 5
million).
Some advanced certifications will cover the full cost of stu
Văn hoá công ty
The football club, cycling car, badminton, ... are just a few of the sports and cultural
activities available.
Khác
Opportunity to work in a professional, modern and energizing setting.
Challenging projects, possibilities, cutting-edge technology, and problems.
Review salary 1-2 times/year, with the possibility of an unexpected salary rise based
on capacit
