Senior Data Engineer (AUS) 2025

at  Tinybeans

Tinybeans is a leading private photo-sharing app that connects families and transforms moments into lasting memories. We’ve been loved and trusted by millions of parents and families worldwide since our founding in 2012, as shown by our 150,000+ 5-star reviews across Apple App and Google Play stores, with users in almost every country.
FY24 marked a major transformation year, with a new CEO, board, and capital raise. With ambitious growth and innovation plans, we aim to enhance the beloved Tinybeans family photo-sharing app further. This maternity cover role will play a crucial part in our journey.

• Data Transformation: Transform raw data into consumable formats for analytics usage. Take over our DBT set up to transform and optimize our analytics pipeline. Develop testing scripts to ensure data accuracy at ingestion and throughout the data transformation.
• Data Pipelines & Orchestration: Oversee existing data pipelines and implement new ones as needed utilising existing tools (Fivetran) or through custom pipeline designs, to ingest data into the data warehouse or perform reverse ETL to other operational systems.
• Data Modelling: Work closely with our backend and software development team to apply best data modeling techniques in our transactional database. (AWS)
• Data Quality: Identify, assess, fix, document, consult and communicate quality issues in the way data is collected, stored, processed, or used.
• Data Infrastructure: Ensure the data platform infrastructure is efficiently maintained, including maintaining access controls, and monitoring storage, computing and costs. (Snowflake, dbt self hosted)
• Documentation: Maintain comprehensive and easily-understood documentation on our data.
• Continuous Optimisation: 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.