Data Engineer (Python)

Top 3 Reasons To Join Us The Job We are hiring a hands-on Data Engineer with 5+ years of experience to develop and maintain data acquisition, processing, and delivery workflows for our global clients. The role focuses on acquiring data from multiple sources — Excel files, APIs, databases, and websites — and transforming that data into reliable, high-quality datasets for business use. The ideal candidate is highly proficient in Python and Pandas, comfortable working with imperfect real-world data, and capable of building maintainable automation solutions that support ongoing business operations. This role emphasizes practical data processing, data quality, workflow automation, and troubleshooting over large-scale distributed data engineering technologies. • Develop and maintain Python-based data processing workflows. • Clean, validate, normalize, enrich, and transform structured and semi-structured datasets. • Implement business rules, tagging, classification, and data standardization processes. • Handle missing values, duplicate records, inconsistent formats, and other data quality challenges. • Build reusable and maintainable data transformation components. • Automate ingestion and processing of Excel, CSV, JSON, and other file-based data sources. • Handle varying file structures, multiple worksheets, inconsistent schemas, and formatting issues. • Generate standardized output datasets and reports. • Integrate with internal and third-party APIs to extract and load data from external systems. • Handle authentication, pagination, rate limiting, retries, and error recovery. • Monitor and troubleshoot data acquisition workflows. • Develop and maintain web scraping and data extraction solutions when required. • Analyze website structures and network requests to identify efficient extraction methods. • Support collection of external data from public and third-party sources, and maintain existing scraping workflows as source websites evolve. • Debug and maintain existing Python-based data workflows; investigate production issues and data discrepancies. • Improve reliability, performance, and maintainability of existing processes. • Develop logging, monitoring, and operational support mechanisms. • Support deployment and operation of data workflows within AWS — working with Amazon S3, AWS Lambda, Amazon RDS, Amazon SQS, and Amazon CloudWatch. • Participate in automation and cloud-based operational improvements. • Working time: Monday to Friday, 14:00-23:00 • Start date: ASAP • Engagement: Long-term • Language: English professional mandatory Your Skills and Experience • 5+ years of professional experience in data engineering or Python-based data processing. • Strong Python programming skills. • Strong experience with Pandas for data processing and transformation. • Experience working with Excel, CSV, JSON, and other structured data formats. • Experience consuming and integrating REST APIs. • Experience with SQL and relational databases. • Experience with web scraping using tools such as BeautifulSoup, and the ability to fetch data from dynamic websites. • Experience building automated data processing workflows. • Hands-on experience with AWS services — S3, Lambda, RDS, SQS, CloudWatch. • Strong debugging and troubleshooting skills. • Ability to work effectively with messy and imperfect datasets. • Strong version control practices using Git. • Excellent analytical, problem-solving, and communication skills. Preferred Qualifications • Experience with additional web scraping and data extraction technologies such as Selenium or Scrapy. • Experience with Excel automation. • Experience consuming GraphQL APIs. • Experience with workflow orchestration tools. • Experience with data mining and automation projects. • Ability to leverage LLMs or other AI models (e.g., Hugging Face models, LLM APIs) to improve existing workflows. Education • Bachelor's degree in Computer Science, Information Technology, or a related discipline (required). Why You'll Love Working Here • Join a French tech company in Vietnam, combining European standards with local agility • Work in a truly international environment, with 13+ nationalities collaborating daily • Contribute to projects serving clients in 32 countries worldwide • Be part of long term, meaningful SaaS projects with real business impact • Grow your skills through mentoring, code reviews, and collaboration with experienced teams • Enjoy a professional, supportive, and people focused work culture • Visa, resident card, and work permit provided for expat profiles working in Vietnam