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)
