Data Engineer

In Marketing We Trust

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

Posted 11/5/2026contractRemote • VietnamMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including data collection, processing, and modeling, with a strong focus on building ETL pipelines and utilizing BI tools for reporting and visualization. Proven ability to analyze data and provide actionable insights to drive client value and improve internal workflows.

Highest-signal resume keywords

Data EngineeringETL Pipeline DevelopmentPython ProficiencySQL ProficiencyStatistical Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData ProcessingData ModelingPredictive ModelingETL PipelinesStatistical AnalysisAutomation WorkflowsData TransformationReportingData Visualization

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

TableauGoogle Data StudioLookerGoogle AnalyticsGoogle Tag ManagerAWSGCPAzureSparkHadoop

Certifications & Qualifications

GCP Certification

Industry Keywords

Marketing DataClient ImpactData Pipeline QualityDelivery TimelinessAutomation Improvement

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 BI tools such as 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
Measured by data pipeline quality, delivery timeliness, client impact, reporting quality, and automation improvement

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
Applications must be within the targeted time zones/locations: Southeast Asia, East Asia, or South Asia
Nice to have: 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 such as AWS, GCP, or Azure

Benefits

Comp & perks

100% remote working environment
Freelance schedule of 16–20 hours per week
Work-life balance and sustainable organisational growth
Opportunities to work on medium to large-scale projects across multiple industries
Investment in the success of every team member
Long-term relationships with partners