Data Engineer

Savvycom's client is an IT outsourcing company seeking a Data Engineer Lead to work on a UK-based project with the following requirements:

Benefit upon this position:

• 100% salary in probation time
• Healthcare: Annual health check-up, Premium Health Insurance
• 12 annual leaves + holidays
• Bonus review bi-annually based on performance
• Bonus for excellent project performance
• Annually company trip & project close team outing

About Job Description:

We are looking for a Lead Data Engineer with excellent English communication skills to take ownership of our data platform architecture and lead a team of engineers in building nextgeneration, AI-powered data solutions. This role demands deep expertise in Databricks or Snowflake, ETL pipeline design, and Lakehouse architecture, as well as experience supporting AI/ML initiatives and AI agents.

Responsibilities:

• Lead the end-to-end architecture and development of a modern, cloud-native data platform using Snowflake, following Lakehouse principles.
• Own and implement advanced ETL/ELT pipelines, ensuring high reliability, performance, scalability, and reusability.
• Design and optimize data models (star schema, normalized models) for analytics, BI, and ML workloads.
• Collaborate closely with data scientists and AI engineers to deliver training data pipelines, model scoring layers, and agent-ready data services.
• Oversee the integration of structured and unstructured data sources, ensuring strong data governance, security, and compliance.
• Champion code quality, documentation, testing, and CI/CD best practices across the data engineering team.
• Mentor junior and mid-level engineers, conduct code reviews, and foster a culture of technical excellence.
• Work directly with global product and business stakeholders using fluent English, including requirement gathering, translating needs into scalable solutions, and presenting architectural recommendations.
• Contribute to the development of AI agents and intelligent data services, leveraging real-time data and vector-based retrieval.
• Lead performance tuning, cost optimization, and infrastructure scaling across the data stack.
• Lead team from 5 to 7 members

Requirements:

• 5+ years of hands-on experience in data engineering or large-scale data platform development.
• Strong, proven expertise with Snowflake: platform architecture, performance tuning, cost management, and ELT pipeline design. (Experience with Databricks/Spark/Delta Lake is an additional advantage.)
• Expert-level proficiency in Python and SQL, capable of writing efficient, production-ready code.
• Solid experience building ETL/ELT workflows using Airflow, dbt, or similar orchestration tools.
• Deep understanding of Lakehouse architecture, data warehousing concepts, and large-scale performance optimization.
• Strong working knowledge of cloud environments (AWS, Azure, or GCP).
• Excellent English communication skills (both verbal and written) – able to engage confidently with international stakeholders and senior leadership.
• Strong leadership, problem-solving, and project management abilities.

Preferred Qualifications:

• Experience with AI/ML lifecycle, MLOps, or AI agent integration (vector databases, embedding models, etc.).
• Experience with real-time/streaming data pipelines (e.g., Kafka, Kinesis).
• Familiarity with AI frameworks like LangChain, OpenAI/Gemini APIs, HuggingFace, or similar LLM-based tools.
• Knowledge of data governance frameworks, including data catalogs, lineage, and privacy controls.
• Prior experience in high-growth environments, especially in AI/tech startups or global enterprises.

Location:

Ward Tan Son Hoa, HCMC, Viet Nam

Working time:

Monday – Friday (9.00 AM – 6.00 PM)