Data and Automation Engineer

  • Kuala Lumpur
  • Permanent
  • Full-time
  • 13 days ago
About Epos Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions) EPOS, part of its global merchant payment services Antom, is a leading Point-of-Sale (POS) digital solutions provider based in Singapore. Supporting Ant International&aposs mission to empower SMEs, EPOS will leverage Antom&aposs digital capabilities as the organisation&aposs central hub to serve regional small and medium sized businesses with integrated O2O solutions. With a growing presence across Singapore, Malaysia and Vietnam, we&aposre continuing to look for passionate individuals to join our diverse and driven teams. As we expand across Asia, to create meaningful, small yet powerful changes for businesses around the world together. This Is What Your Job Scope Will Be... Data Handling & Engineering Collect, clean, and structure large datasets from multiple sources (web scraping, APIs, third-party tools). Build automated pipelines for lead enrichment, deduplication, and validation. Ensure data quality, accuracy, and consistency across different systems. Automation & Workflow Development Automate manual processes such as Excel cloud tool syncing and reporting dashboards. Develop scripts to extract, transform, and load (ETL) data into HubSpot CRM. Explore workflow and RPA automation tools (Zapier, Make, Power Automate, UiPath). CRM & System Integration Support smooth data migration and syncing between legacy databases and HubSpot CRM. Develop automation rules inside HubSpot for lead routing, deduplication, and reporting. Collaborate with Sales Ops & Market Research teams to align CRM structures with business needs. Process Optimization Identify repetitive tasks and design scalable automation solutions. Create monitoring dashboards for data pipeline health and performance. Continuously improve efficiency of data collection, storage, and reporting. Requirements Requirements We would love to hear from you if... At least 2 years of experience Bachelor&aposs degree in Computer Science, Data Engineering, or related field Proven experience in data automation, engineering, or business process automation Strong skills in Python / SQL / APIs (for data scraping and ETL) Hands-on experience with HubSpot CRM or similar CRM systems Proficiency in Excel automation, Google Sheets, and cloud tools Experience with workflow automation tools (Zapier, Make, Power Automate, UiPath, etc.) Strong problem-solving mindset and ability to work with cross-functional teams Nice-to-Have Skills Experience in web scraping frameworks (BeautifulSoup, Scrapy, Selenium). Knowledge of data visualization tools (Tableau, Power BI, Google Data Studio). Understanding of cloud platforms (AWS, GCP, Azure) for scalable data storage. Familiarity with machine learning basics for lead scoring and probability models Benefits Opportunity to work closely with the Market Research and Sales Operations teams. Exposure to end-to-end data pipelines and CRM automation projects. Dynamic startup environment with space to experiment and build scalable automation. Career growth path towards Data Engineering / Automation Lead Show more Show less

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