Data Engineer

🔥 0 minutes ago

🇦🇺 Australia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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In Marketing We Trust

WebsiteLinkedInAll Job Openings

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 • Deliver data pipeline quality, timely delivery, client impact, reporting quality, and automation improvements • Report to the Head of Data and Engineering

🎯 Requirements

• At least 6 years of experience as a Data Engineer and Software 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 • Experience with Google Analytics and Google Tag Manager is nice to have • 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 • Applications must be within the targeted time zones/locations: Australia & NZ, Southeast Asia, East Asia, or South Asia

🏖️ Benefits

• 100% remote working environment • Flexible work-life integration • Freelance schedule of 16–20 hours per week • Possibility to transition to full-time • Sustainable organisational growth without sacrificing individual well-being