Data Engineer

In Marketing We Trust

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

Posted 11/5/2026contractRemote • ThailandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, including data collection, processing, and analysis, with a strong focus on building ETL pipelines and utilizing BI tools for reporting and visualization. Proven ability to automate workflows and deliver actionable insights to clients across various industries.

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 TransformationBig Data ProcessingGoogle Analytics

Soft Skills

Problem-SolvingCommunication

Tools & Technologies

TableauGoogle Data StudioLookerGoogle Tag ManagerGCPAWSAzureSparkHadoop

Certifications & Qualifications

GCP Certification

Industry Keywords

Marketing DataClient ImpactReporting QualityAutomation 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
Work on medium to large-scale projects across multiple industries
Report to the Head of Data and Engineering
Performance 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, plus 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
Targeted timezones/locations: Southeast Asia, East Asia, South Asia; only applications within the targeted time zones/locations are processed
GCP certification is nice to have
Knowledge of big data processing such as Spark or Hadoop is nice to have
Familiarity with cloud platforms such as AWS, GCP, or Azure is nice to have
Experience with Google Analytics and Google Tag Manager is nice to have

Benefits

Comp & perks

100% remote working environment
Freelance schedule of 16–20 hours per week
Sustainable work-life balance
Work-life harmony
Opportunity to work with sharp digital minds regardless of location