Data Engineer

Halo Labs

City of Brisbane

Remote

AUD 80,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Dedicated learning budget
Performance bonuses
Comprehensive wellbeing support
Flexible remote work
Travel opportunities to client locations

Job summary

An innovative firm is seeking a skilled Data Engineer to join their remote-first team. This role involves designing and enhancing data frameworks, collaborating with stakeholders, and implementing scalable data pipelines using cutting-edge Azure technologies. With a focus on mentorship and technical guidance, you will play a pivotal role in fostering skill development within the analytics community. Enjoy exceptional perks such as a dedicated learning budget and comprehensive wellbeing support while working in an inclusive environment that values diversity and innovation. If you're passionate about data and ready to make an impact, this opportunity is for you.

Qualifications

  • Hands-on experience with Azure Cloud Services and Databricks.
  • Proficiency in SQL, Python, and PySpark for data processing.
  • Strong understanding of data warehousing and ETL/ELT processes.

Responsibilities

  • Design and enhance PySpark frameworks for data solutions.
  • Collaborate with stakeholders to deliver data-driven solutions.
  • Build and deploy scalable data pipelines using Azure services.

Skills

Azure Cloud Services
Databricks
Python
PySpark
SQL
Data Engineering
ETL/ELT processes
Data Architecture
DevOps Practices

Education

Degree in Computer Science
Degree in Data Science
Degree in IT

Tools

Azure Data Factory
Azure SQL Server
Azure Storage
Power BI
Tableau
Azure DevOps

Job description

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Halo Labs is a future focused, end-to-end data solutions firm - transforming tomorrow, today. Our intelligent and secure technology systems and data driven solutions drive meaningful outcomes and unlock lasting value.

Why work at Halo Labs?

  • Leading Innovation: We don’t just solve problems; we illuminate a never-ending stream of innovation.
  • Exceptional Perks: Enjoy outstanding perks like a dedicated learning budget, performance bonuses, and comprehensive wellbeing support.
  • Remote-First Organisation: Experience the perks of remote work while having the flexibility to travel to client locations throughout Australia.
  • Inclusive and Engaging: Celebrate diversity in a welcoming space that thrives on new ideas and open conversations, all in a respectful environment.
  • Inspiring Origins: With a compelling founder story, we are a customer-focused, culture-first organisation.

About the Role:

  • Framework Development: Design, develop, and enhance in-house PySpark frameworks to ensure standardised implementations and promote reusability across projects.
  • Mentorship: Provide technical guidance and mentorship to junior team members, fostering skill development within the analytics community.
  • Stakeholder Collaboration: Collaborate with internal and external stakeholders to deliver high-quality, data-driven solutions that meet business needs.
  • Data Analysis & Engineering: Conduct exploratory data analysis and design end-to-end data engineering solutions, including ETL/ELT pipelines using Azure Data Framework,Databricks, and other Azure services.
  • Pipeline Implementation: Build, test, and deploy scalable data pipelines using Python, PySpark, and Azure services, ensuring adherence to best practices for automated testing, documentation, and CI/CD via Azure DevOps (Git, Azure Pipelines).
  • Platform Monitoring: Monitor and support batch operations for the Data and Insights Platform, ensuring reliability and performance.

About You:

  • Cloud Expertise: Hands-on experience with Azure Cloud Services, includingDatabricks, Azure Data Factory, Azure SQL Server, and Azure Storage.
  • Databricks Proficiency: Strong experience withDatabricksfor big data processing.
  • Leveraging Databricks notebooks for collaborative data engineering and analytics.
  • Utilising Databricks clusters for scalable and efficient data processing.
  • Data Engineering Tools: Proficiency in SQL, Python, and PySpark for data processing and pipeline development.
  • Data & Analytics Concepts: Strong understanding of data warehousing, data lakes, ETL/ELT processes, and visualisation/reporting tools (Power BI, Tableau) to drive business value.
  • Data Architecture: Deep knowledge of data architecture, data modelling, data marts, and metadata management best practices.
  • Modern Data Platforms: Minimum 3 years of experience working with modern data platforms (AWS, Azure) and data engineering, with a focus on Agile delivery methodologies.
  • DevOps Practices: Expertise in Azure DevOps, including Git for version control and Azure Pipelines for CI/CD.
  • Education: Degree in Computer Science, Data Science, IT, or a related field

While Queensland-based candidates are preferred, outstanding applicants from other locations will also be considered.

You’re interested in this exciting opportunity and feel you’re the right fit please click “apply”

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Business Consulting and Services

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