Principal GCP Data Engineer

Sydney, New South Wales, Australia

Simple Machines

Data Engineered to Life. Engineering and software development for data.

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Join Simple Machines and be part of our mission to help clients unlock the full potential of their data through the creation of cutting-edge business driven data platforms and software solutions. As we continue to expand our team across Australia and New Zealand, we are seeking Principal Data Engineers who are unafraid to challenge the status quo and push boundaries.

The Exciting Part

Simple Machines is not your average consultancy or software engineering firm. Our team is comprised of inspiring technical leaders in Data Engineering, Machine Learning, and Artificial Intelligence. Our projects are data-focused and drive impactful business outcomes.

Requirements

Requirements

  • Understanding of big data considerations, such as security, governance, reliability, and scalability
  • Hands-on experience with batch processing and streaming tools and technologies, such as Spark, Kafka, Flink, DBT, and Athena
  • 3+ years experience with Google Cloud Platform (GCP)
  • Proficiency in programming languages such as Python, Java, Scala, GoLang, or Rust
  • Experience with data warehousing technologies (BigQuery, Snowflake, Databricks) and data storage formats (Parquet, Delta, ORC, Avro, JSON)

Nice-to-Haves

  • Current certifications in GCP (for example Professional Data Engineer)
  • Experience with infrastructure as code tools (Terraform, Pulumi, CDK)
  • Knowledge of containerised solutions (Docker, Kubernetes)
  • Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, JetBrains TeamCity, Octopus Deploy, ArgoCD)
  • Experience with testing tools and frameworks (DBT, Great Expectations, Soda)

Unless otherwise stated: You must have full working rights in Australia

Benefits

Working at Simple Machines

We’re looking for someone who’s as passionate as we are about building a world-class technology company specialising in engineering for data.


Just some of the benefits of working with Simple Machines include:


  • Flexible working: Want to work from home or leave early to pick up the kids? Need to start early some days, later on others? No problem!
  • Generous parental leave: Three months’ fully paid primary carer leave and one month fully paid secondary carer leave, subject to a minimum 12 month tenure
  • Learning and development: We all love continually learning and have a generous budget for you to upskill, join conferences, get certified and qualified
  • Lunch is on us. Always! We happily supply lunch at each of our office locations every Monday, Wednesday and Friday.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Athena Avro Azure Big Data BigQuery CI/CD Databricks Data Warehousing dbt DevOps Docker Engineering Flink GCP GitHub Golang Google Cloud Java JSON Kafka Kubernetes Machine Learning Parquet Python Rust Scala Security Snowflake Spark Streaming Terraform Testing

Perks/benefits: Career development Conferences Flex hours Parental leave

Region: Asia/Pacific
Country: Australia
Job stats:  3  0  0
Category: Engineering Jobs

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