Data Engineer

In Marketing We Trust

. Collect, process, and clean data from various sources .

Posted 11/5/2026contractRemote • India, Indonesia, Malaysia, Philippines, Thailand, VietnamMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data engineering, including data collection, processing, and modeling, with a strong focus on building ETL pipelines and utilizing BI tools like Tableau and Looker. Proven ability to analyze data and provide actionable insights to drive business value.

Highest-signal resume keywords

Data EngineeringETL Pipeline DevelopmentPython ProficiencySQL ProficiencyStatistical Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data CollectionData ProcessingData ModelingPredictive ModelingETL PipelinesStatistical AnalysisData TransformationAutomation WorkflowsBig Data ProcessingCloud Platforms

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

TableauGoogle Data StudioLookerGoogle AnalyticsGoogle Tag Manager

Certifications & Qualifications

GCP Certification

Industry Keywords

Marketing DataBusiness InsightsClient EngagementSoutheast AsiaEast AsiaSouth Asia

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformHadoopPythonSparkSQLTableau

About the role

Key responsibilities & impact

Collect, process, and clean data from various sources
Design and implement data models, ETL pipelines, and automation workflows
Conduct in-depth data analysis and build predictive models to solve business challenges
Develop reports and visualisations using Tableau, Google Data Studio, or Looker
Work closely with clients to understand business problems and provide actionable insights
Continuously improve internal workflows by automating repetitive tasks
Support account expansion efforts by identifying opportunities to provide additional value to clients
Report to the Head of Data and Engineering
Work on medium- to large-scale projects across multiple industries

Requirements

What you’ll need

At least 6 years of experience as a Data Engineer
Strong knowledge of statistical analysis and data modelling
Prior experience handling marketing data
Proficiency in Python and SQL (and other relevant languages/tools)
Experience building ETL pipelines and transforming data from multiple sources
Familiarity with BI tools such as Tableau, Looker, or Google Data Studio
Strong problem-solving and communication skills
Experience with Google Analytics and Google Tag Manager (nice to have)
GCP certification (nice to have)
Knowledge of big data processing, such as Spark or Hadoop (nice to have)
Familiarity with cloud platforms, including AWS, GCP, or Azure (nice to have)
Applications must be within the targeted Southeast Asia, East Asia, or South Asia time zones/locations

Benefits

Comp & perks

100% remote working environment
Sustainable work-life balance
Flexible freelance schedule of 16–20 hours per week
Opportunity to work with clients across multiple industries
Professional growth through investment in team member success