- Experience
- 6+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 तासपूर्वी
- Work mode
- In office
- Eligibility
- Applications from candidates located within the Asia-Pacific time zones are considered. Employment is full-time for Australian residents with a valid tax number; others may be engaged as contractors based on registration status.
- Resume
- Required to apply
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Job description
About the Company
In Marketing We Trust is a specialist technical performance marketing agency dedicated to resolving complex marketing challenges. We apply an engineering approach to marketing problems to achieve scalable outcomes and maximize return on investment. Our core values emphasize building trust with all stakeholders, prioritizing client interests, investing in team member success, and fostering long-term partner relationships to sustain continued growth.
Role Overview
The Data Engineer role involves assisting clients in making informed, data-driven decisions by capturing, processing, analyzing, and visualizing data. This position supports medium to large projects across diverse industries, unlocking data potential.
Primary Responsibilities
- Gathering, cleansing, and processing data from multiple data sources.
- Designing and implementing data models, ETL pipelines, and automation workflows.
- Performing comprehensive data analysis and constructing predictive models to address business problems.
- Creating reports and visualizations using business intelligence tools like Tableau, Google Data Studio, or Looker.
- Collaborating closely with clients to understand their business challenges and provide actionable insights.
- Enhancing internal processes by automating repetitive tasks.
- Identifying opportunities to extend value to clients to support account growth.
Performance Metrics
- Quality and reliability of data pipelines.
- Timely delivery of projects and tasks.
- Positive impact on client outcomes.
- Excellence in reporting accuracy and clarity.
- Efficiency gains through automation improvements.
Required Knowledge and Skills
- Minimum six years’ experience in a Data Engineering role.
- Strong expertise in statistical analysis and data modeling techniques.
- Proficient in Python, SQL, and related programming languages or tools.
- Experience developing ETL processes and integrating data from diverse sources.
- Familiarity with BI platforms such as Tableau, Looker, or Google Data Studio.
- Excellent analytical thinking and communication abilities.
Preferred Qualifications
- Experience working with Google Analytics and Google Tag Manager.
- Certification in Google Cloud Platform (GCP).
- Understanding of big data technologies like Spark or Hadoop.
- Knowledge of major cloud service providers including AWS, GCP, and Azure.
Additional Details
- Department: Digital Delivery
- Reporting to: Head of Data and Engineering
- Direct reports: None
- Work schedule: Full-time, fixed-term
- Employment type: Full-time for Australia-based individuals with an Australian tax number; contractor status applies for candidates outside Australia or lacking this tax registration.
- Target locations/timezones: Asia-Pacific region
- Application process: This is an open application role not immediately available. Suitable applicants are invited for an initial discussion; recruitment proceeds only when the position formally opens.
Industry
Marketing Services