Back to jobs

Data Engineer

Australia

Did you know someone completes a Go1 course or learning resource almost three times every second? We've grown from humble beginnings into the most diverse learning content aggregator on the planet. Our culture transcends physical walls, thriving in connections and collaboration. We embrace change as an opportunity for innovation and growth. Our pace is fast, and our goals are ambitious. If you love tackling bold challenges and growing rapidly alongside talented and humble people, you'll fit right in at Go1.

The next chapter of our growth story needs you. GO there with us.

The Data team at Go1 offers global Data and AI-centric services, including search, recommendations, content enrichment, and skills taxonomy. We collaborate with internal partners to enhance customer experiences and products. Combining Data Governance, Software, and Data Engineering expertise to provide platforms, tooling, and templates that empower our people to use data effectively. This team also captures and models core data into Data Products and promotes good data practices across Go1.

What Does a Data Engineer Do Every Day at Go1?

As a Data Engineer at Go1, you will build and maintain data products, infrastructure, and tooling for key domains and use cases. Your work will impact Analytics, Experimentation, and AI models powering Go1 products.

Key responsibilities include:

  • Partnering with key stakeholders to define technical solutions.
  • Demonstrating excellent verbal communication skills for cross-functional team engagement.
  • Analyzing, designing, developing, and testing data processing pipelines, warehouses, marts, models, and SQL queries.
  • Scripting for orchestration, operation, and data management.
  • Managing Azure infrastructure and services.
  • Supporting Data Consumers by resolving data issues and tuning queries.
  • Conducting performance analysis and optimization of databases, SQL queries, ETL processes, and physical schemas.
  • Providing operational support, monitoring data pipelines and infrastructure, and managing CI/CD and incident management.

What will make us excited abut you

  • 3+ years experience in Data Engineering
  • Driven by requirements to acquire, manipulate, process, and demonstrate value from large datasets
  • Experienced in integrating streaming and batch data from source systems
  • Strong analytical skills with structured and unstructured datasets
  • Proficient in big data tools and batch processing technologies 
  • Experienced with Spark SQL (Databricks), PySpark (Python), and scripting languages like Python and Scala
  • Proficient in SQL and data pipeline/workflow management tools
  • Knowledgeable in source control and CI/CD
  • Experienced in testing data from Bronze to Golden Layers

Join our team at Go1 and be at the forefront of transforming education through innovative learning solutions. Together, we can change the world. One learner at time. 

#LI-REMOTE #LI-AD1

Benefits:

At Go1, our employee benefits extend far beyond a paycheck, ensuring our team feels supported, valued, and empowered to bring their best selves to work each day, driving our mission to unlock positive potential through a love of learning.

  • In addition to your base salary: Annual bonus or commission plan.
  • Employee Stock Option Plan: Opportunity to share directly in our success through stock options.
  • Public Holiday Swap: Swap a public holiday for another preferred day. 
  • Wellbeing & Learning Days: Additional five days paid leave per year. 
  • Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget.
  • WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport.
  • Home Office Setup Budget: One-off allowance for desk, chair and/or monitor.
  • Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers. 
  • Wellbeing Support: TELUS Health EAP or Spill.

Check out Life at Go1: LET'S GO!

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf


What pronouns do you identify with?