Senior Data Engineer

21 hours ago

Sydney, New South Wales, Australia Tinybeans Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Tinybeans. As a key member of our analytics and data engineering function, you will be responsible for making data available and digestible across the company.

Key Responsibilities
  • Own the data platform and data pipeline for our team, ensuring robustness and traceability of our data.
  • Work closely with our development team to ensure the business has full visibility into new and existing features and can confidently make decisions based on them.
  • Take over and scale our DBT setup to transform and optimize our analytics pipeline while developing testing scripts to ensure data accuracy.
  • Design, build, and maintain dashboards to automate reporting and analyses that assist all departments.
  • Perform ad-hoc analyses when necessary to help business stakeholders understand Tinybeans' data and identify areas of opportunity.
  • Maintain comprehensive and easily-understood documentation around our analytics and reporting.
  • Identify, assess, fix, document, consult, and communicate quality issues in the way data is collected, stored, processed, or used.
  • Increase data literacy in the company and keep up with the latest data-management technologies to continuously evaluate paid or open-source tools that will improve the efficiency of our data platform and data processes.
Requirements
  • Demonstrate ability to work across various teams to achieve consensus on key business decisions.
  • Willingness to roll up your sleeves and fix problems in a hands-on manner.
  • Advanced problem-solving skills.
  • Knowledge of best practices in data analysis.
  • Outstanding attention to detail and a meticulous approach to work.
  • Strong verbal and written communication skills to interact with business and technical teams.
  • Intellectual curiosity and research abilities.
What We Offer
  • Competitive compensation and yearly stock options.
  • Benefits aligned with local Country/State.
  • 6+ years of proven working experience as a Data Engineer or Business Data Analyst.
  • Expert-level SQL skills.
  • Experience in working with Snowflake or similar Data Warehousing tools.
  • Experience in working with DBT and Fivetran.
  • Experience in working with Tableau, and/or equivalent tools.
  • Experience in working with Python, Jupyter, or similar.
  • Experience or interest in setting up Infrastructure using AWS, IaC, or Containerization platforms like Terraform, Docker, Kubernetes.
Preferred Qualifications
  • Experience in Data Governance, Master Data Management, Data Quality implementations/tools, or Data Standardization.
  • Experience in report automation.
  • Experience building and scaling green field data pipelines historically.
  • Experience with B2C subscription and/or advertising businesses.
Location and Hours
  • Preference for Sydney, Australia, alongside CEO (hybrid; office location TBC).
  • The broader team is based in North America with a concentration on the East Coast. This role will require overlapping business hours (e.g., 6am AEST) and hours/days can be flexed accordingly.
  • Occasional international travel may be required.

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