MArketing Data engineer

C Smart International

Sydney

On-site

AUD 120,000 - 160,000

Full time

2 days ago
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Job summary

C Smart International in Sydney is seeking a data analytics professional with strong SQL, API integration, and cloud data platform experience to support marketing analytics.

You will optimize queries, model data, orchestrate ETL/ELT, and collaborate with DevOps practices on Google Ads, GA4, DV360, and GCP environments. A focus on marketing analytics and digital measurement with GA4 preferred; lower emphasis on engineering tasks.

Qualifications

  • Strong SQL expertise and query optimization.
  • Experience building API-based integrations.
  • Experience with cloud-based data platforms (BigQuery & Cloud Storage preferred).
  • Data modelling experience.
  • ETL/ELT orchestration experience.
  • CI/CD and DevOps familiarity.
  • Experience analysing with Google Ads, GA4, DV360 (GA4 preferred).
  • Higher focus on Marketing analytics with exposure to GCP.

Skills

SQL proficiency
API integrations
Cloud data platforms
Data modelling
ETL/ELT orchestration
CI/CD and DevOps
Marketing analytics
GA4 analytics

Tools

BigQuery
Cloud Storage
Google Ads
GA4
DV360

Job description

Company Description C Smart International delivers specialized software and consulting services to the Financial Services industry, with expertise in Payments, Cards, Core Banking, Digital solutions, and related advisory services. The organization partners with a global network of financial institutions, processors, card schemes, consultancies, FinTech companies, and software providers. C Smart International places strong emphasis on its people, fostering a professional yet approachable culture grounded in enjoyment, making a difference, well-being, and a committed professional family. Guided by the purpose of being a trusted partner in quality financial service solutions, the company focuses on long-term relationships and high-performance delivery. Prospective team members can learn more about C Smart International’s services and values by visiting the company website.

Role Description
  • Strong SQL expertise. Query optimization.
  • Experience building API-based integrations.
  • Experience with cloud-based data platforms (BigQuery & Cloud Storage preferred).
  • Data modelling experience.
  • ETL/ELT orchestration experience.
  • CI/CD and DevOps familiarity.
  • Experienced in analyse with Google Ads, GA4, Meta and DV360 (with GA4 being the strongest preference.
  • Higher focus on Marketing analytics experience and exposure to GCP, lower focus on strong engineering experience
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