
Technology Specialist - Data Engineer
- Sydney, NSW
- Permanent
- Full-time
- Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
- Work life balance days
- Employee Stock Purchase Plan
- Employee Referral bonus
- Vehicle novated lease
- Health & wellbeing sessions
- Dedicated career pathways and development planning
- Opportunity to join our President Club Champions
- Dynamic Data Insights: Delve into the realm of data analytics and gain invaluable insights that fuel informed decision-making, empowering businesses to tackle challenges faster and more effectively.
- Cutting-Edge Platforms: Step into the forefront of innovation with our modern data platforms, cloud solutions, and infrastructure, laying the groundwork for unleashing untapped business potential and maximizing ROI.
- AI-Powered Advancements: Embrace the future with predictive analytics and AI-driven trend forecasting, equipping organizations to seize new opportunities and gain a competitive edge in today's fast-paced markets.
- Automation Revolution: Lead the charge in automation solutions, revolutionizing workflows and boosting productivity, enabling teams to concentrate on high-value tasks and propel business growth.
- Optimization Expertise: Harness our advanced analytics capabilities to optimize processes and elevate performance, ensuring steadfast operations and continual improvement.
- Comprehensive Business Intelligence: Provide comprehensive views of data through our business intelligence solutions, empowering organizations to address critical questions and navigate a path toward future success.
- Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. As a Technical Specialist, you’re positioned for swift advancement within our organization through a structured career path. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
- Experience in data engineering with hands on experience using Spark SQL to model and transform data.
- Proficiency in programming languages such as Python. PySpark and/or SQL
- Experience working with DBT, Apache Spark or Delta Lake and a good understanding of DBT concepts.
- Experience building Power BI models and visualizations with solid understanding of DAX and Power BI visualization techniques.
- Implement ETL pipelines using Azure Data Factory, DBT and various SQL engines including Spark SQL, Databricks SQL and Snowflake SQL.
- Knowledge of distributed data storage, partitioning, and performance tuning.
- Experience developing and deploying data infrastructure as code (IaC) and working in CI/CD environments.
- Strong SQL and data modelling (star schema, snowflake, lakehouse).
- Optional: Exposure to orchestration tools (e.g., Airflow, Data Factory, Synapse Pipelines, Fabric Pipelines).
- Extensive experience working with large data sets with hands-on technology skills to design and build robust data architectures.
- Extensive experience in data modelling and database design
- Familiarity with common data modelling concepts and terminology such as Inmon, Kimball, snowflake, star, dimensions, facts, data lakes, data warehouses, data vault.
- Received 35+ industry and partner awards in the past year
- $9.2 billion in revenue
- #20 on Fortune’s World's Best Workplaces™ list
- 14,000+ engaged teammates
- Best Workplaces in Technology 2023 – Australia
- $1.4M+ total charitable contributions in 2023 by Insight globally