Data Engineer

About the Role

This digital marketing agency, headquartered in Sydney, Australia, serves mid-market and enterprise clients across the APAC region. The organization utilizes a distributed workforce model that emphasizes a supportive, people-oriented culture and efficient remote cooperation across international borders. They are looking to hire a freelance Data Engineer for 16 to 20 hours of work each week. In this position, you will partner with the Head of Data and Engineering to produce effective data-driven results. You will engage in diverse projects for clients in various sectors, assisting them in converting intricate data into useful business strategies. This role provides the chance to collaborate with an international cohort of digital experts while benefiting from a flexible arrangement that promotes a healthy work-life balance.

Requirements

• You need a minimum of six years of career experience in data engineering, including expertise in data modeling and statistical evaluation.
• You must be highly proficient in SQL and Python.
• Proven ability to develop ETL pipelines and handle data integration from varied sources is required.
• You should be proficient with business intelligence platforms, including Google Data Studio, Looker, or Tableau.
• You must possess excellent communication and problem-solving skills to effectively address client needs.
• Previous work history involving marketing-related data is necessary.
• You must reside in East Asia, Southeast Asia, or South Asia to align with the team's time zone.
• Experience with cloud providers such as Azure, GCP, or AWS is a plus.
• Familiarity with big data tools like Hadoop or Spark is advantageous.
• Knowledge of Google Tag Manager and Google Analytics is beneficial.
• A GCP certification is desirable but not required.

Responsibilities

• You will gather, refine, and sanitize data from multiple origins to guarantee it is precise and ready for use.
• Your main duties include creating and executing data structures, constructing ETL pipelines, and generating automated workflows to optimize data-related tasks.
• You will perform thorough data investigations and build predictive models to assist clients with specific business objectives.
• You will create visualizations and reports to communicate data insights effectively.
• A significant portion of your role involves direct client interaction to deliver value-driven insights and supporting account growth by finding ways to provide further value.
• You will also refine internal processes through the automation of manual tasks to keep data operations scalable and productive.

Benefits & Perks

• You will work in a completely remote setting that prioritizes professional and personal balance.
• You will have the opportunity to engage with a wide network of digital specialists situated around the world.