Data Engineer Remote Freelance

In Marketing We Trust; Sydney; Remote; AUD 96,000 - 165,000; Full time

Job summary

In Marketing We Trust, a technical performance marketing agency, seeks a Data Engineer to help clients leverage data across multiple industries. You will collect, process, analyze, and visualise data, building ETL pipelines and predictive insights.

The role emphasizes collaboration with clients, automation of workflows, and delivering actionable business intelligence using Tableau, Looker or Google Data Studio.

Qualifications

• 6+ years in Data Engineering or Software Engineering roles.
• Experience with marketing data is a plus.
• Proficiency in Python and SQL, and familiarity with ETL tooling.

Responsibilities

• Collect, process, and clean data from diverse sources.
• Design data models, ETL pipelines, and automation workflows.
• Perform data analysis and build predictive models for clients.
• Create reports and visualisations using Tableau, Looker or Google Data Studio.
• Collaborate with clients to translate business problems into data solutions.
• Automate repetitive tasks to improve internal workflows.

Skills

Python

SQL

ETL pipelines

Data analysis

BI tools

Communication

Tools

Tableau

Looker

Google Data Studio

Spark

Hadoop

AWS

Job description

Job Description:

What In Marketing We Trust is all about

Were 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 & Software Engineer.
• Strong knowledge of statistical analysis and data modelling.
• Have 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 / 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).

-------

Position title: Data Engineer

Department: Digital Delivery

Report to: Head of Data and Engineering

Direct report: N/A

Days/Hours: Freelance: 16-20 hours per week with the possibility to turn to full-time

Employment type: Independent Contractor

Targeted timezones/locations: Australia & NZ, Southeast Asia, East Asia, South Asia.

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

Requirements