This is a position Qode is hiring on behalf of our client.

Company Description

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 a Cloud Data Engineering Lead to take the reins in designing and delivering modern cloud-native data architectures. You’ll be working at the intersection of big data and cloud computing—building scalable systems, managing a talented data team, and helping clients solve complex data challenges.

This is a unique opportunity to work with top-tier technology leaders, drive innovation, and leave your mark on some of the most ambitious cloud projects in the region.

📌 Key Responsibilities

• Architect and build modern cloud-native data platforms (Data Lakes, Lakehouses, Data Warehouses).
• Develop robust data pipelines and ETL/ELT processes using modern frameworks (Airflow, Glue, DBT, etc.).
• Manage real-time data ingestion and streaming solutions with Kafka, Flink, or Apache Beam.
• Collaborate with DevOps and cloud architects to deploy scalable solutions on AWS (or GCP/Azure).
• Guide and mentor a growing team of data engineers, helping shape project outcomes and team growth.
• Write clean, efficient code using SQL and Python; maintain and tune data solutions for performance.
• Contribute to project scoping, design reviews, and strategic data decisions with CTO and CEO.
• Stay ahead of technology trends and recommend new approaches for data strategy and architecture.

🎯 What You Bring

Must-Have:

• 5+ years in data engineering, cloud data architecture, or related roles.
• Hands-on experience with cloud platforms (AWS preferred, GCP or Azure also welcome).
• Proficient in SQL and Python; strong coding discipline.
• Familiar with orchestration tools like Apache Airflow, Dagster, or Luigi.
• Knowledge of modern data integration tools (Fivetran, Airbyte, Talend, AWS Glue).
• Experience with query engines and processing tools: Presto, Flink, PySpark, DBT.
• Understanding of modern databases and real-time data systems (Redshift, MongoDB, Kafka, PostgreSQL).

Nice-to-Have:

• Exposure to Big Data platforms like Snowflake, Databricks, or Hadoop.
• AWS Data Analytics or related cloud certifications.
• Strong leadership, communication, and stakeholder management skills.

🎁 What We Offer

• Work with cutting-edge cloud & AI technologies.
• Join global projects with real impact across industries.
• Modern, dynamic, and multicultural work environment.
• Clear career path and learning support with access to certifications (AWS, etc.).
• Flexible working environment and collaborative team culture.
• Annual company trips, fun team events, and great office vibes.
• Competitive salary and full benefits package.