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Senior Data Engineer

9 hours, 36 minutes ago
Australia
Full-time
Senior
Data Engineer
Software Development
Apache Airflow Apache Spark ClickHouse CloudFormation Dagster Databricks dbt GCP Kafka Kubernetes Power BI Python Snowflake SQL Superset Tableau Terraform
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Thanks

Thanks

Thanks turns thank you into revenue and happier customers with a rewards experience everyone loves to engage with. They help businesses unlock new revenue, discover new customers, and grow brand love through their innovative rewards platform. Whether e...

Diversified Consumer Services
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Description

  • Design and deliver a scalable data platform for the Thanks Network.
  • Move the business beyond operational databases into well-modeled data environments for analytics and feature engineering.
  • Own the data science, technical implementation, and performance of ranking systems.
  • Own the full lifecycle of models from training and validation through real-time inference.
  • Build frameworks for experimentation on ranking systems, including lift, attribution, and success measurement.
  • Develop resilient, observable batch and near-real-time data pipelines.
  • Create trusted datasets and data marts that enable self-serve analytics for product, engineering, and commercial teams.
  • Set data architecture and tooling direction, including build-versus-buy trade-offs.
  • Act as the go-to data expert across the business and influence roadmaps and decisions through technical judgment.

Requirements

  • Experience as a senior, hands-on individual contributor in a high-growth environment.
  • Deep strength in both data engineering and applied data science.
  • Strong Python skills and advanced, performance-optimised SQL skills.
  • Experience building and operating data pipelines in cloud environments.
  • Hands-on experience with analytical databases and working across operational and analytical data stores.
  • Familiarity with streaming or event-driven data architectures.
  • Comfort operating as a senior IC in a greenfield environment.
  • Excellent communication skills and the ability to partner across Product, Engineering, and Commercial teams.
  • Thoughtful use of AI to support exploration, modelling, debugging, and analysis while maintaining high standards for data quality and ownership.
  • Strong internal drive focused on performance, correctness, and durable systems.
  • Experience in adtech, marketplaces, or performance-driven platforms (nice to have).
  • Exposure to experimentation frameworks and attribution models (nice to have).
  • Experience enabling analytics for non-technical teams (nice to have).
  • PySpark, dbt, and strong SQL skills (must have).
  • At least one workflow orchestration tool such as Airflow, Dagster, Step Functions, or equivalent (must have).
  • At least one DevOps/DataOps tool such as Terraform, CloudFormation, Azure ARM, or Kubernetes (must have).
  • At least one data warehouse or analytics platform such as Databricks, Snowflake, BigQuery, ClickHouse, or Redshift (must have).
  • Databricks Unity Catalog or Atlas (nice to have).
  • Kafka, Kinesis, or equivalent event streaming technology (nice to have).
  • Experience with reporting tools such as Tableau, Power BI, or Superset (nice to have).
  • Experience with data quality tools such as Great Expectations or dbt testing (nice to have).

Benefits

  • Meaningful equity as part of the compensation package.
  • Foundational ownership of core data systems and architecture.
  • High-impact work that directly influences product performance, experimentation, and business scaling.
  • A hands-on role with strategic influence in a fast-growing platform.
  • Close collaboration with founders and the Head of Product.
  • A culture that values courage, high standards, and kindness.
  • Flexible working arrangements, with openness to exceptional candidates across Australia’s east coast.
  • The opportunity to help build something new and foundational from the ground up.

Interested in this position?

Apply directly on the company website

Apply Now

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