Qode
cloud industry
DataEngineeringLead/SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineering Lead / Senior Data Engineer at Qode. Skills: Data Engineering, Data Modeling, Cloud Platforms, Leadership. Lead data engineering initiatives. Shape data models”
What You'll Achieve.
deliver impactful cloud solutions; data drives business decisions; analytics-ready data models aligned with business KPIs
Industry & Context.
What They're Looking For.
Must Have
7+ years of experience in data engineering, hands-on data engineer, data models for analytics and reporting, SQL, Python, cloud platforms, Strong background in business, orchestration and transformation tools, team leadership skills, working directly with business stakeholders
Nice to Have
Experience working with BI or Analytics teams, Exposure to AI/ML data pipelines, Consulting or customer-facing experience, Cloud certifications
What You'll Do.
Lead data engineering initiatives
Build analytics foundations
Work with business stakeholders
Own analytics-ready data models
Translate requirements
Build cloud-based data platforms
Develop ETL/ELT pipelines
Support real-time data processing
Lead and mentor engineers
Act as technical point of contact
Collaborate with other teams
Contribute to project planning
How You'll Work.
Team & Collaboration
Work closely with business stakeholders; Partner with Product, Analytics, and Business teams; Collaborate with Cloud Architects, DevOps, and AI teams
Communication Scope
explaining data solutions
Process & Methodology
Contribute to project planning, estimation, delivery ownership
Full Job Description
_This is a position we're hiring for on behalf of our client in cloud industry._ **🚀 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 techni
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