Marketing Data Engineer, APAC

Job Title

Job Description

So, who are we?

IG Group is a FTSE 100 fintech operating across five continents, serving over 1.4m customers and handling billions of dollars in transactions – built on scale, trust, and proof. We didn’t pivot to innovation; it’s how we’ve always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that’s rare in established businesses.

The bar is high – bring a curious and forward-thinking mindset and we’ll give you the platform to define what comes next.

Join us at IG – the future gets built here.

Your Team:

This role sits within the APAC Data and Analytics team, reporting into the Head of Data and Analytics, APAC. The team partners closely with marketing across all APAC markets to ensure marketing data is clean, connected and trusted. This is an individual contributor role with no direct reports.

Your role in the Team’s Success:

We’re looking for a Marketing Data Engineer to build the data infrastructure behind marketing across APAC – Singapore, Australia, Japan and Emerging Markets. You’ll connect our marketing platforms (GA4, AppsFlyer, Amplitude, Braze) into GCP, powering attribution, measurement, tracking and data sharing across the region.

What you’ll do:

• Design and build robust ETL/ELT pipelines connecting marketing platforms, including GA4, AppsFlyer, Amplitude and Braze, into GCP.

• Support attribution and measurement modelling by ensuring marketing data is clean, reliable and well-structured.

• Own data governance and sharing standards across markets, keeping marketing data consistent and accessible across Singapore, Australia, Japan and Emerging Markets.

• Implement and maintain tracking and tagging across marketing platforms in partnership with marketing and analytics stakeholders.

• Troubleshoot and resolve data quality issues across the marketing data stack, from source to warehouse.

• Partner with marketing, analytics and engineering teams to prioritise and deliver new data integrations.

• Document data flows, pipelines and schemas to support self-serve reporting across APAC.

What You’ll Need:

• Degree in a quantitative or technical field (computer science, engineering, data science, or related).

• 3-5 years’ experience as a data engineer or in a similar role, ideally supporting marketing or growth functions.

• Strong hands-on experience building ETL/ELT pipelines on GCP (e.g. BigQuery, Cloud Functions, Dataflow).

• Practical experience with marketing or analytics platforms such as GA4, AppsFlyer, Amplitude or Braze.

• Strong SQL skills and experience with a scripting language such as Python.

• Experience supporting attribution or measurement modelling with clean, structured data.

• Understanding of data governance principles, particularly across multiple markets or regions.

• Strong stakeholder management skills, with the ability to work closely with marketing and analytics teams.

The perks

It really is more than a job. We’ll recognize your talent and make sure that you can still have a life – at work, and outside of it. Networks, committees, awards, sports and social clubs, mentorships, volunteering opportunities, extra time off… the list goes on

• Competitive salary

• Flexible and hybrid working (2 days working from home)

• Private medical and dental insurance for employees and eligible dependants

• Life insurance coverage

• Disability income protection

• Fitness benefits, including discounted access to Platinum Fitness Raffles Place and reimbursement of up to SGD 720/year

• Annual health check reimbursement

• 20 days annual leave, plus public holidays, birthday leave and volunteering days

• Option to sell or carry forward annual leave

• Employee Share Purchase Plan

• Employee Assistance Programme for employees and their families

• Health and wellbeing benefits

• Comprehensive global and local onboarding programme

• Strong employee community and social initiatives

Number of openings