We're a technical performance marketing agency, and we exist to solve tough problems in marketing. We bring an engineering mindset to complex marketing situations to deliver scalable performance that generates an exponential return on investment.
Trust is in our name and is our guiding principle. To deliver on our purpose, we conduct our business by the following Code of Ethics:
• Build trust through every interaction with every person
• Always deliver in the best interest of our clients
• Invest in the success of every team member
• Build long-term relationships with our partners.
Delivering these foundational codes will fund our continued growth.
As a Data Engineer, you will help clients make data-driven decisions by collecting, processing, analysing, and visualising data. You’ll work on medium to large-scale projects across multiple industries, helping clients unlock the full potential of their data.
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.
Data pipeline quality
Delivery timeliness
Client impact
Reporting quality
Automation improvement
Core Competencies
At least 6 years of experience as a Data Engineer.
Strong knowledge of statistical analysis and data modelling.
Have 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 / Google Data Studio.
Strong problem-solving and communication skills.
Nice to Have
Experience with Google Analytics and Google Tag Manager.
GCP certification.
Knowledge of big data processing (e.g., Spark, Hadoop).
Familiarity with cloud platforms (AWS, GCP, Azure).
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Position title: Data Engineer
Department: Digital Delivery
Report to: Head of Data and Engineering
Direct report: N/A
Days/Hours: Freelance: 16-20 hours per week
Employment type: Independent Contractor
Targeted timezones/locations: Southeast Asia, East Asia, South Asia.
Note: only applications within the targeted time zones/locations are processed.
Build and improve data pipelines, models, and reporting for client projects, turning data from multiple sources into actionable insights and predictive analysis while automating workflows.
Build and improve data pipelines, models, analyses, and visualisations that help clients make data-driven decisions and solve business challenges across multiple industries.
Build and improve data pipelines, models, analyses, and visualisations for client projects, turning data from multiple sources into actionable insights and supporting data-driven decisions.
Build and evolve a large-scale data platform by developing reliable Azure pipelines, maintaining its analytics layer, modeling performance indicators, and ensuring data is accurate and ready for business decisions.
Own Mux’s data platform end to end, building reliable warehouse pipelines, dbt models, and semantic foundations for AI agents while improving data quality, governance, and analytics across the business.
