Remote Senior Data Engineer
Vị trí làm việc tại fram^ với lựa chọn làm việc remote, tập trung phát triển hệ thống dữ liệu và nền tảng lõi cho doanh nghiệp. Bạn sẽ thiết kế các pipeline dữ liệu lớn, hệ thống tuân thủ (SOC 2, GDPR), kiểm tra chất lượng tự động và chủ động dẫn dắt chuyển đổi lên kho dữ liệu đám mây hiện đại. Quyền lợi bao gồm mức lương cạnh tranh, làm việc linh hoạt, bảo hiểm sức khỏe toàn diện và 15+ ngày nghỉ/năm.
Yêu cầu tối thiểu 7 năm làm kỹ sư dữ liệu, thành thạo Snowflake/BigQuery/Redshift, các công nghệ xử lý dữ liệu sự kiện (Kafka, Spark...), kiến thức vững về SQL, Python và kinh nghiệm xây dựng hệ thống đáp ứng các quy định SOC 2, GDPR. Ưu tiên ứng viên biết AWS, dbt, Terraform và đã làm tại môi trường startup.
Title: Remote Senior Data Engineer
Company: fram^
Company description: fram^ is a digital and development powerhouse building products, teams and managed services with over 130 employees across offices in Vietnam (Ho Chi Minh City & Da Nang) and in Sweden.
We work under one big vision that is to help clients in everything step they are in from concept to completion with a wide range of expertise. With a burning passion for delivering excellence, we help clients to develop world-class digital solutions in a professional and cost-efficient manner.
fram^ cultivates a unique company culture with a truly energizing international start-up vibe. We are committed to the belief that only passionate, proud & happy employees can deliver real-world-class client output. fram^ aspires for nothing less to be Vietnam’s no.1 most popular IT employer!
Primary description: fram^ · Ho Chi Minh City, Vietnam (Remote)
Description: The Role
We are seeking a Senior Data Engineer to accelerate the evolution of our core data platform. Your primary mission will be to solve our most critical infrastructure bottleneck: the co-mingling of production and analytical workloads that creates performance risks and slows our ability to generate insights. You will play a key role in a new initiative, using your expertise in data warehousing, event-driven systems, and database operations to build the core systems that power the company. This is a hands-on role for an experienced engineer who takes ownership and drives projects to success.
Responsibilities
- Engineer for Enterprise-Grade Governance: Architect and implement the technical backbone for our compliance initiatives (SOC 2, GDPR). You will build the systems for our future data catalog, manage data access, and solve the high-friction processes that currently hinder legitimate analysis.
- Modernize our Data Ingestion Layer: Design and build robust, scalable pipelines for both batch and event-driven data, setting the stage for future real-time analytics and ML feature capabilities.
- Establish Data Quality as a Core Practice: Implement the foundational patterns for data quality monitoring. You will build automated freshness and integrity checks for our most critical data assets, establishing a new level of trust and reliability in our data.
- Architect and build the Next-Generation Data Warehouse: Proactively own the end-to-end process of designing and building the migration of our analytical workloads from a shared production cluster to a modern, scalable cloud data warehouse (e.g., Snowflake).
Qualifications
- 7+ years of dedicated data engineering experience, with a strong focus on building and operating core data platforms.
- Expertise in modern data warehousing: You have a proven track record of architecting, building, and operating robust, scalable data warehouses like Snowflake, BigQuery, or Redshift.
- Experience with event-driven architectures: You have hands-on experience with real-time data processing technologies and patterns (e.g., Kafka, Kinesis, Flink, Spark Streaming).
- Deep knowledge of database operations: You have a strong understanding of database performance tuning, monitoring, disaster recovery, and the operational trade-offs of large-scale data systems.
- Data governance & compliance experience: You have hands-on experience building technical solutions to meet compliance requirements like SOC 2 or GDPR, including data access controls and cataloging.
- Pragmatic problem-solving: A demonstrated ability to choose the right solution for the problem at hand, avoiding over-engineering while ensuring robustness in a startup environment. You are proficient in SQL and Python.
Preferred skills (Nice-to-Haves)
- AWS experience: Familiarity with core AWS services used in a platform context (RDS, S3, IAM, Kinesis, etc.).
- dbt (Data Build Tool) experience: Hands-on experience using dbt for production data transformations is a strong plus.
- Infrastructure as code experience: Familiarity with tools like Terraform for managing data infrastructure.
- Experience in a startup environment: Comfortable with ambiguity and a fast-paced setting.
You’ll love working here!
- Competitive salary package.
- Mon-Fri, flexible remote working.
- 12 days of annual leave and 3 additional special holidays (Swedish National Day, Christmas Eve & your Birthday).
- Annual leaves increase with loyalty.
- Premium health care package for employees & family members.
- English, professional working environment.
Location: Ho Chi Minh City, Vietnam
Skills:
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