[Hiring] Data Engineer @In Marketing We Trust

Role Description

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.

Role Accountability

• 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.

How this role will be measured

• Data pipeline quality
• Delivery timeliness
• Client impact
• Reporting quality
• Automation improvement

Qualifications

• 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 / Google Data Studio.
• Strong problem-solving and communication skills.

Requirements

• Experience with Google Analytics and Google Tag Manager (Nice to Have).
• GCP certification (Nice to Have).
• Knowledge of big data processing (e.g., Spark, Hadoop) (Nice to Have).
• Familiarity with cloud platforms (AWS, GCP, Azure) (Nice to Have).

Benefits

• 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.