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Data Engineer

🔥 0 minutes ago

🌐 Philippines, Vietnam, +4 more countries – Remote

infoinfo

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on In Marketing We Trust's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of In Marketing We Trust

In Marketing We Trust

11 - 50 employees

Founded 2010

📣 Marketing

🤝 B2B

Marketing • B2B

In Marketing We Trust is a fully remote digital marketing agency headquartered in Sydney, Australia with roots in the APAC region. The company provides digital marketing services (including SEO and broader digital delivery) to mid- to enterprise-level APAC clients, operates a distributed team across multiple countries, and uses standard remote collaboration and marketing tools (Notion, Slack, Teamwork, Google products). They hire both employees and independent contractors depending on location and emphasise a people-first, remote-worker culture and APAC time-zone alignment.

📋 Description

• 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 • Freelance schedule of 16–20 hours per week

🎯 Requirements

• 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 • Targeted time zones/locations: Southeast Asia, East Asia, South Asia; only applications within these targeted time zones/locations are processed • 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

• 100% remote working environment • Sustainable work-life balance • Work-life harmony • Opportunity to work with digital minds regardless of location

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