Data Engineer

Location: Sydney NSW

*** Mention DataYoshi when applying ***

We are the world's largest meditation community of 18 million people, from 120 countries speaking 50+ languages. We publish 70,000 free guided meditations and music tracks by 10,000 meditation teachers and musicians from around the world.

Insight Timer is the top rated free meditation app globally. We have been featured by TIME, Forbes, The New York Times and Vogue, and our app have picked up the Editors Choice award by Google, and App of the Day by Apple.

The Role

More time is spent on Insight Timer than all other meditation apps combined. Data is one of our key competitive advantages as we have more variety and more depth than any other meditation app. This is a unique opportunity to be an integral part of building the nascent Data Science function at Insight Timer. We are hiring Data Engineers, Machine Learning Engineers and Data Scientists who are passionate about using data, ML and AI to better understand users and to offer new products and experiences that can help improve their lives.

As a Data Engineer you will be integral in building our data and machine learning platform as well as designing and coding data transformations for features that power ML models and enable analytics. You will be instrumental in unlocking the power of our vast amounts of data and building tools that enable efficiency and scalability of the data science function.

What you’ll do

  • Design and implement a reliable, scalable, robust and extensible data and machine learning platform on Google Cloud that supports core products and business needs.
  • Design, code, test, and deploy data transformations for analytics and machine learning features, while optimising for efficiency, reusability, reproducibility, and observability.
  • Design data schemas and data models for our BigQuery data warehouse optimising for data quality, cost and maintainability.
  • Identify, track, and remediate data quality issues as well as implementing continuous data quality monitoring to ensure downstream dependencies work as expected.
  • Establish solid design and best engineering practice for engineers as well as non-technical people including standard methodologies in continuous integration and delivery.
  • Cross-functionally collaborate with Analysts, Data Scientists,Machine Learning Engineers and Backend Engineers.

What we are looking for

  • BS or MS degree in Computer Science or related technical field or equivalent practical experience.
  • Strong SQL skills, preferably with experience in building analytics datasets.
  • Solid software engineering practices with strong experience in a programming language and at least some experience with Python.
  • Experience in data modelling, warehousing and ETL tools, especially in the context of modern data lake/marts.
  • Experience building data pipelines preferably with orchestration tools like Data Build Tool, and Airflow/Prefect/Dagster.
  • Experience with cloud infrastructure, AWS or GCP (preferred), CI/CD and tools like Docker.
  • Some exposure to big data frameworks like Spark, Apache Beam, Hadoop.
  • Ability to wrangle and analyse data.
  • Willingness to learn new skills and technologies.
  • Ability to work both independently and collaboratively (pair-programming).


Our team is a global bunch of conscious creators who are passionate about building products that make a difference. Like most of the world, we've transitioned to working from home and we’re working hard to keep our team connected. We host team meditations, focus on our wellbeing, incorporate flexibility into our work week and celebrate our successes along the way. If your application matches what we are looking for we will be in touch.

*** Mention DataYoshi when applying ***

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