(OA) Data Engineer

This is an open application job, which means the role is not currently available but will be in the future (we can't say when). If you applied to the role, you'd be invited to the 1st chat when you're a right fit, then the recruitment process stops there, and will be resumed once this role is opened.

What In Marketing We Trust is all about

We're a technical performance marketing agency, and we exist to solve tough problems in marketing. We bring an engineering mindset to complex marketing situations to deliver scalable performance that generates an exponential return on investment.

Trust is in our name and is our guiding principle. To deliver on our purpose, we conduct our business by the following Code of Ethics:

Build trust through every interaction with every person

Always deliver in the best interest of our clients

Invest in the success of every team member

Build long-term relationships with our partners.

Delivering these foundational codes will fund our continued growth.

Role Purpose

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

Requires Knowledge & Skills

Core Competencies

At least 6 years of experience as a Data Engineer.

Strong knowledge of statistical analysis and data modelling.

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.

Nice to Have

Experience with Google Analytics and Google Tag Manager.

GCP certification.

Knowledge of big data processing (e.g., Spark, Hadoop).

Familiarity with cloud platforms (AWS, GCP, Azure).

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Position title: Data Engineer

Department: Digital Delivery

Report to: Head of Data and Engineering

Direct report: N/A

Days/Hours: Full-time | Fixed Term

Employment type: Full-time if you live and work in Australia with an AUS tax number. Contractor If you're outside of Australia and don't have an AUS tax registration number. Please see the difference in our FAQ.

Targeted timezones/locations: APAC

Note: only applications within the targeted time zones/locations are processed.