Middle/Senior — Production

We are looking for a hands-on Data Engineer (Mid–Senior) with strong English communication to build and operate reliable, scalable data pipelines and analytics-ready datasets on AWS. In this individual contributor role, you will design and maintain ETL/ELT workflows (AWS Glue, Athena), optimize SQL and databases for performance, and collaborate closely with engineering, product, and analytics stakeholders to enable trustworthy data-driven decisions.

Job duties and responsibilities 

• Design, build, and maintain scalable, robust, and maintainable data pipelines on AWS, from ingestion to curated datasets for analytics and downstream services. 
• Develop and operate production ETL/ELT workflows using AWS Glue (Spark/Python) and query/serving layers using Amazon Athena; integrate with S3 and other AWS data services as needed. 
• Diagnose and resolve data issues (job failures, pipeline breakdowns, schema drift, and unexpected row-level changes), production outages, and performance bottlenecks to maintain system reliability. 
• Write high-quality SQL and perform SQL tuning (partitioning strategy, file formats, query optimization) to improve efficiency, cost, and scalability across data stores and warehouses/lakes. 
• Own data quality and observability: implement validation checks, lineage/metadata practices, monitoring/alerting, and root-cause analysis to ensure trustworthy datasets. 
• Facilitate secure and efficient data access for analytics (e.g., Athena permissions, data sharing patterns), balancing liberalization with compliance and privacy requirements; provide on-call/incident support as needed to meet SLAs. 
• Work with the Data Lead and engAineering team to implement optimal ingestion, storage, and transformation strategies; stay ahead of industry trends and recommend best-in-class data engineering technologies and practices. 

Job requirements and qualifications 

• Minimum 4+ years of relevant experience in Data Engineering (Mid–Senior level). 
• Strong English communication skills (written and spoken) for collaborating with international stakeholders. 
• Strong proficiency in Python; hands-on experience using Pandas for data manipulation, transformation, and analysis of large datasets. 
• Strong SQL skills with proven experience in performance tuning and query optimization (Athena and relational databases). 
• Hands-on experience building, deploying, and debugging ETL/ELT workflows in production on AWS (AWS Glue, Athena; plus S3, IAM, CloudWatch). 
• Solid database knowledge (data modeling, transactional vs. analytical workloads, indexing, constraints, and data consistency concepts). 
• Strong problem-solving skills, especially in navigating ambiguous and unknown data issues and performing root-cause analysis. 
• Ability to partner effectively with engineering, product, and data analytics teams to deliver business-ready datasets. 

Nice to have: 

• Experience with modern data lake/lakehouse patterns (S3 + Glue Data Catalog), partitioning, and file formats (Parquet/ORC) 
• Experience with data orchestration and automation (e.g., Airflow/Managed Workflows, Step Functions) and CI/CD for data pipelines 
• Familiarity with BI/analytics tools and data modeling concepts (dimensional modeling, metrics definitions) to support Data Analytics use cases 

Benefits and perks 

Compensation & Bonuses 

• Competitive salary package with attractive bonuses 
• Up to 100% salary during probation period 
• Holiday bonuses throughout the year 
• 13th-month salary & performance bonus based on business results and individual performance 

Working Environment 

• 5 working days/week (Monday to Friday) 
• Flexible remote working policy 
• Free pantry & daily snacks 

In-house gym facilities 

• Comfortable nap/rest areas 
• Employee discounts at Enouvo Cafe in the same building. 

Healthcare & Insurance 

• PVI Healthcare insurance for employees 
• Family healthcare support under company policy 
• Full social, health, and unemployment insurance coverage 
• Annual health check-up 

Leave & Work-life Balance 

• 12 paid annual leave days 
• Leave carry-over policy 
• Special sick leave support 
• Social insurance leave benefits in accordance with regulations 
• Additional leave days based on seniority 
• Paid marriage and bereavement leave 

Company Culture & Internal Activities 

• Wedding, newborn, and birthday gifts 
• Employee wellness and hospital visit support 
• Internal Activities (Annual Company Trip, Year-End Party, celebration events,..) 
• Project & functional team building activities 
• Sport clubs: football, badminton, and more 

Learning & Development 

• Udemy Business account, Elsa Premium account for English learning 
• Weekly internal knowledge-sharing sessions 
• Opportunities to become a mentor for interns and students 
• Professional certification rewards 
• Participation in Hackathons & innovation, AI activities,..

How to Apply 

Does this role sound like a good fit? Email us at careers@enouvo.com 

• Include the role title in your subject line. 
• Send along links that best showcase the relevant things you've built and done.