Data Quality Engineer
10 hours ago
We're partnering with a
global marketing technology and data solutions company
that helps the world's biggest brands make smarter decisions through connected data, cloud, and AI-powered platforms. Their QA and Data Engineering teams operate globally and they're expanding their
Quality Engineering (QE)
team in Malaysia to support large-scale data transformation projects for international clients.
If you're strong in
SQL, Python, and ETL testing
, and enjoy ensuring the integrity and accuracy of data pipelines, this could be the role for you
What You'll Do
As a
Quality Engineer (Data Testing & Automation)
, you'll play a key role in validating complex data workflows that power global analytics platforms. You'll work on data-centric projects and ensuring that data is reliable, consistent, and accurately transformed across multiple systems.
Your day-to-day work will include:
- Validating data pipelines,
ETL/ELT
processes, and data transformations - Writing and debugging
SQL scripts
to perform data quality checks - Building lightweight automation using
Python - Collaborating with Data Engineers, Cloud Engineers, and QA peers across global teams
- Participating in
CI/CD integration
and
cross-team QA collaboration - Working closely with US-based client teams in an agile/scrum setup
You'll be part of a
specialized Cloud & Data QA team
led by global QA leaders, with strong career growth and international exposure.
What We're Looking For
- Strong proficiency in
SQL
(advanced joins, grouping, data validation logic) - Working knowledge of
Python
(data checks, functions, automation scripts) - Experience in
ETL/ELT testing
or
data validation
across multiple sources (flat files, databases, big data) - Familiarity with
Snowflake
,
Databricks
, or any major
cloud platform (AWS, Azure, GCP) - Understanding of CI/CD and test automation principles
- Comfortable working across
global time zones
(US/EMEA hours with flexibility) - Great communication and collaboration skills with a problem-solving mindset
What's in it for you?
- Be part of a
fast-growing global QA team
working on data-driven solutions for major international clients - Career path
from Associate QE to senior, lead, and managerial roles - International collaboration
with teams in the US, UK, and beyond - Hands-on learning across
data validation, automation, and cloud technologies - Access to global onboarding programs and continuous upskilling
- Open to
expat candidates
(must be based in Malaysia)
Interview Process
- Panel interview
and Technical Screening – with the QA Manager and team (hands-on approach) and SQL and Python short assessment - Final round
– with US-based team, conversational and culture-focused
Ready to join a world-class data engineering QA team?
Apply now and be part of a company that turns data into insight, and insight into impact.
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