Sr. Data Engineer

Project: Digital Marketing Analytics

Client: Leading Bank in Vietnam

Duration: 6 Months (Consulting/Contracting)

Start Date: Early October

Working Model: Remote

Working Language: English

About the Role:

We are looking for a Data Engineer (Consultant) to support a 6-month engagement with a leading bank in Vietnam. The role involves building and maintaining data pipelines for marketing analytics, ensuring reliable data availability for insights, and enabling advanced marketing intelligence initiatives.

Key Responsibilities

• Design, build, and maintain data pipelines and ETL workflows for marketing data.
• Integrate data from multiple sources including web analytics, CRM, paid channels, and customer databases.
• Develop and optimize data models for campaign and customer analytics.
• Ensure data quality, governance, and compliance.
• Collaborate with Data Scientists, Analysts, and Marketing teams to deliver actionable insights.
• Implement solutions for batch and real-time data processing.

Required Skills & Qualifications

• 5+ years of experience as a Data Engineer, preferably in marketing analytics or banking projects.
• Proficiency in SQL, Python, or Scala for data engineering.
• Strong knowledge of ETL tools (Airflow, dbt, Talend, etc.).
• Hands-on experience with data warehouses and data lakes (Snowflake, BigQuery, Redshift, etc.).
• Experience with big data frameworks (Spark, Hadoop, Kafka).
• Strong understanding of data modeling, schema design, and APIs.
• Excellent English communication skills (written & verbal).

Nice to Have

• Experience in banking/financial services data projects.
• Exposure to MLOps and supporting machine learning pipelines.
• Knowledge of cloud-based data engineering (AWS, GCP, Azure).

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹2,000,273.48 - ₹4,041,108.58 per year

Benefits:

• Work from home

Work Location: Remote