Qode

FinTech, BFSI, Digital Startups

DataEngineeringLead/SeniorDataEngineer

Ho Chi Minh City, Hồ Chí Minh, Vietnam FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Data Engineering Lead / Senior Data Engineer at Qode. Skills: Data Engineering, Cloud Platforms (AWS preferred), Data Modeling, ETL/ELT Pipelines, SQL, Python, Leadership. Lead data engineering initiatives. Shape data models and analytics foundations”

What You'll Achieve.

data drives business decisions and analytics; deliver impactful cloud solutions

Industry & Context.

FinTech, BFSI, Digital Startups

What They're Looking For.

Must Have

7+ years of experience in data engineering or related roles, hands-on data engineer (ETL, data modeling, analytics datasets), Experience designing data models for analytics and reporting, not just raw ingestion, Proficient in SQL, Proficient in Python, Hands-on experience with cloud platforms (AWS preferred ; GCP/Azure acceptable), Experience with orchestration and transformation tools (Airflow, DBT, Glue, etc.), team leadership skills, experience working directly with business stakeholders (e.g. Finance, Risk, Sales, Marketing, Operations) to gather data or analytics requirements

Nice to Have

Experience working with BI or Analytics teams (Looker, Power BI, Tableau, etc.), Exposure to AI/ML data pipelines or analytics use cases, Consulting or customer-facing experience, Cloud certifications (AWS Data Analytics, Solutions Architect, etc.)

What You'll Do.

Lead data engineering initiatives

Shape data models and analytics foundations

Own the design of analytics-ready data models aligned with business KPIs and use cases

Translate business and customer requirements into scalable data solutions

and Business teams to define metrics

Participating in and building modern cloud-based data platforms (Data Lake

Develop and maintain robust ETL/ELT pipelines using tools such as Airflow

and performance across pipelines and datasets

Support real-time or near–real-time data processing when required

Lead and mentor data engineers

providing technical guidance and code reviews

Act as a technical point of contact for customers

explaining data solutions and trade-offs

Collaborate with Cloud Architects

and AI teams to deliver end-to-end solutions

Contribute to project planning

and delivery ownership

How You'll Work.

Team & Collaboration

Work closely with business stakeholders and customers; Partner with Product, Analytics, and Business teams; Collaborate with Cloud Architects, DevOps, and AI teams

Communication Scope

explaining data solutions and trade-offs

Process & Methodology

Contribute to project planning, estimation, and delivery ownership

Full Job Description

_This is a position we're hiring for on behalf of our client._ **🚀 Company Introduction** Our client empowers organizations by transitioning legacy workloads to cutting-edge Cloud, DevOps, and AI technologies. As**Vietnam's AWS Partner of the Year** for two years in a row, they bring deep expertise and innovative thinking to every project. They're not just a consultancy, they're a transformation partner. Their dynamic team of engineers, architects, and DevOps experts is passionate about delivering impactful cloud solutions across industries, including FinTech, BFSI, and Digital Startups. **🧠 About the Role** We are looking for an experienced **Data Engineering Lead / Senior Data Engineer** who goes beyond building pipelines and understands how data drives **business decisions and analytics**. In this role, you will: * Lead data engineering initiatives * Shape data models and analytics foundations * Work closely with business stakeholders and customers * Guide a team of data engineers This role is ideal for someone who is ready to step up, take the lead, and own both the technical and business-facing aspects of a fast-growing data practice. **📌 Key Responsibilities** ### **Data & Analytics Leadership** Own the design of **analytics-ready data models** aligned with business KPIs and use cases. Translate business and customer requirements into scalable data solutions. Partner with Product, Analytics, and Business teams to define metrics, reporting structures, and data standards. **Data Engineering & Architecture** Participating in and building modern **cloud-based data platforms** (Data Lake, Data Warehouse, Lakehouse). Develop and maintain robust **ETL/ELT pipelines** using tools such as Airflow, DBT, Glue, Spark, etc. Ensure data quality, reliability, and performance across pipelines and datasets. Support real-time or near–real-time data processing when required. **Leadership & Stakeholder Engagement** Lead and mentor data engineers, providing technical guidance a

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