Senior Data Engineer

About AGEST Vietnam

AGEST Vietnam (AGV), a world-class software testing, test automation, and software development company. AGV is an affiliate company of AGEST Inc., Japan. We have a high industry profile of 20 years+ operating in Vietnam. Our today mission is to evolve a safe and secure digital society and support its further development by contributing to the development of an advanced digital society by providing next-generation Software Development, Big Data & AI and Quality Assurance solutions.

We unlock the power of data with scalable data engineering pipelines, predictive analytics, and machine learning solutions that drive smarter decision-making.

• Data engineering & analytics
• Machine learning models
• Business intelligence dashboards
• Predictive insights

Responsibilities

We're hiring a Senior Data Scientist / Data Engineer to lead the design, development, and deployment of advanced machine learning and AI-driven solutions across AWS and GCP. You'll own end-to-end model lifecycle from data exploration to production and collaborate closely with data engineering teams to ensure

scalability and reliability.

Data Engineering

• Design and develop scalable data architectures using Snowflake/Databricks and other modern data stack technologies to support Big Data workloads.
• Implement, monitor, and maintain high-performance ELT/ETL pipelines.
• Develop, train, and optimize machine learning and statistical models for predictive analytics, recommendation systems, forecasting, and anomaly detection.
• Translate business problems into analytical solutions and communicate insights to non-technical stakeholders.
• Design robust feature engineering, data preprocessing, and model validation frameworks.
• Select appropriate ML algorithms and technologies for scalability, interpretability, and cost efficiency.

AI Platform & MLOps

• Collaborate with Data Engineering teams to operationalize models in production environments.
• Implement MLOps pipelines for model versioning, CI/CD, monitoring, and retraining (using tools such as SageMaker, Vertex AI, or MLflow).
• Define and track model performance metrics, data drift, and retraining triggers.
• Integrate observability and AIOps tools for proactive issue detection and system resilience.

Team Leadership

• Mentor junior data scientists and analysts through code reviews, modeling best practices, and project guidance.
• Drive model governance, documentation, and experimentation culture across the team.
• Partner with engineering and business leaders to define data science strategy and delivery roadmap.

Customer & Presales Engagement

• Work closely with business and sales teams to understand customer challenges and translate them into AI/ML solutions.
• Support proposal creation, including architecture options, effort estimation, and value articulation.
• Deliver presentations, demos, and technical discussions to help clients understand model capabilities and outcomes.

Research & Innovation

• Explore and evaluate emerging trends in AI/ML, generative AI, and LLMs to guide platform evolution.
• Prototype and benchmark new models or frameworks to improve performance, cost, and explainability.
• Contribute to reusable assets, accelerators, and internal knowledge sharing.

Requirements

• 4+ years in Data Engineering or Science or Applied Machine Learning, including in a senior or team lead role.
• Strong hands-on experience across both AWS and GCP ecosystems:

AWS: S3, SageMaker, Glue/EMR, Lambda, Step Functions, Athena, Redshift.

GCP: BigQuery, Vertex AI, Dataflow, Dataproc, Composer (Airflow), Pub/Sub.

• Proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and XGBoost.
• Strong foundation in statistics, experimentation (A/B testing), and hypothesis validation.
• Skilled in SQL and data manipulation for large-scale analytics.
• Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines, Vertex Pipelines).
• Understanding of data modeling, feature stores, version control, and reproducible experiments.
• Experience with IaC (Terraform/CloudFormation) and containerization (Docker/Kubernetes) is a plus.
• Knowledge of data governance, privacy, and compliance (GDPR-style controls, PII management).
• Good command of English

Strong Pluses

• Experience with Databricks, Snowflake, or other unified data platforms.
• Knowledge of AIOps, data observability, and quality monitoring tools (Great Expectations, Monte Carlo, Soda).
• Proven track record in AI solution presales, technical proposals, and executive-level communication.
• Exposure to LLM-based solutions, generative AI, or RAG (Retrieval-Augmented Generation) architectures.
• Domain experience: biotechnology, bioinformatics, genomics, or healthcare data analytics.

Benefits for this position

What could we offer you

oWorking and growing with a group of diverse talents that is cross-functioning, self-organizing, and empowered to deliver values to our clients.

oEnjoy the English training program and other professional skills training courses delivered by our experts.

oEnjoy a professional working environment, where people assess each other honestly, communicate openly and support each other enthusiastically.

oFully equipped at work.

Attractive bonuses and compensations:

oPerformance Bonus: up to 1.5 months, based on individual performance and the company's overall annual revenue.

o100% salary during probation.

oAnnual health check-up and premium health insurance at luxurious private clinics in Vietnam.

oExtra annual leave +2 days for every 5 years of work.

oWelfare visits.

oVarious in-house training programs: technical training from experts, quarterly seminars, Cloud-services training program, soft skills sharing sessions, etc.

Various indoor and outdoor activities including:

oPlayStation 5 (PS5), and board games (table tennis, table football, chess) during break time.

oSports clubs like badminton and football for sports fans with quarterly competitions and amazing awards for champions.

o A spacious pantry with free snacks, instant noodles, and coffee.

oCompany trip, year-end party, team building gathering

oHave fun as you work, learn, and play.

Contact us to apply:

AGEST Vietnam Co., LTD

Ms. My - [Confidential Information]

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Head Office

Add: TTC tower, 253 Hoang Van Thu St., Tan Son Hoa Ward, HCMC, Vietnam

Tel: (028) 3990 3839