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CBTW

Senior Data Engineer

CBTW

. Design, build and operate data products serving CreditorWatch/Collect applications and internal analytics teams .

Posted 11/9/2026full-timeHo Chi Minh City • VietnamSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong expertise in SQL and Python for building production-grade data solutions, with a focus on data modeling, governance, and cloud platforms like AWS. Proficient in using Databricks and dbt for data product development and mentoring data engineers.

Highest-signal resume keywords
SQL ExpertisePython ProgrammingDatabricks PlatformData ModelingCloud Data Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonData ModelingData GovernanceCloud PlatformsDatabricksDbtLakeflow PipelinesUnity CatalogAI-Assisted Development
Soft Skills
Clear CommunicationMentoringCollaboration
Tools & Technologies
DatabricksDbtClaude CodeDatabricks Agent SkillsCloud Data Warehouses
Industry Keywords
Data ProductsData SolutionsAnalyticsData SecurityAccess Control

Tech Stack

Tools & technologies
AWSCloudPythonSQLUnity

About the role

Key responsibilities & impact
  • Design, build and operate data products serving CreditorWatch/Collect applications and internal analytics teams
  • Own data solutions end to end, from source integration through interface applications and analytics consumers
  • Contribute to the Databricks data platform, including Lakeflow pipelines, Unity Catalog governance, and Databricks apps with Lakebase backend
  • Build and extend transformation layers in dbt Core with testability and clear ownership
  • Use Claude Code or similar agentic AI coding tools and Databricks Agent Skills as a core development workflow, with accountability for quality
  • Partner with product, analytics and software engineering teams on data product consumption across the broader CreditorWatch stack
  • Mentor data engineers through code reviews, pairing and technical guidance
  • Contribute to architectural decisions, platform standards and continuous improvement

Requirements

What you’ll need
  • Strong expertise in SQL and Python, with a track record of delivering production-grade data solutions
  • Experience with modern data platforms and tools such as Databricks, dbt and cloud data warehouses
  • Strong understanding of data modelling and storage patterns for analytical and operational use cases
  • Experience working with cloud platforms, ideally AWS
  • Understanding of data security, governance and access control principles
  • Experience serving data into customer-facing applications, not only analytics/reporting layers
  • Comfort working with AI-assisted development tools (e.g. Claude Code, Databricks Agent Skills) as a day-to-day workflow
  • Clear written and verbal communication, especially when working across time zones with teams in Australia
  • Good English communication skills (both verbal and written)

Benefits

Comp & perks
  • Hybrid working model