Data Engineer

About The Role
We are looking for a Data Engineer to build and maintain data pipelines, integrations, reporting datasets, dashboards and visualisations that support internal and client reporting requirements.
This mid-senior role combines hands-on data engineering with business intelligence and report development. You will work closely with the Head of Data Practice and wider technology team to prepare data, develop reliable data models, translate business requirements into reporting solutions, and contribute to the continued evolution of modern data and analytics platforms.
About The Client
You will be working with a leading Australian workforce solutions organisation with extensive experience delivering recruitment, skills development and career development services across multiple industries. The organisation operates in a fast-paced, collaborative environment that values adaptability, practical delivery and continuous improvement.
Ideal Profile
Experience & Capabilities
Hands-on experience across data engineering, data preparation and report development
Strong SQL skills, including queries, joins, transformations and views
Sound understanding of relational databases, schemas, data flows and data modelling
Experience developing dashboards, reports and visualisations using an established BI platform
Ability to translate business requirements into data preparation, reporting logic and meaningful metrics
Practical troubleshooting experience across data pipelines, reporting and data quality
Experience maintaining existing solutions while delivering new requirements
Strong ownership and accountability for assigned technical deliverables
Essential Technical Skills
SQL and relational database technologies
Data modelling and preparation of datasets for reporting and analytics
Experience with Power BI, Tableau, QlikView or a comparable BI platform
Preferred Technical Skills
Data ingestion pipelines and ETL/ELT processes
Python for data processing, transformation and automation
Databricks
GoodData and MAQL
Power BI report maintenance, troubleshooting and enhancement
API-based integrations
SSRS and legacy report migration
Embedded visualisations and iframe concepts
Databricks Genie or comparable AI-assisted analytics capabilities
Microsoft Azure data environments
Personal Attributes
Clear communication and confidence clarifying business requirements
Analytical thinking and practical problem-solving skills
Strong attention to detail and data accuracy
Ownership, accountability and reliable follow-through
Ability to prioritise effectively and adapt to changing requirements
Collaborative approach with technical and business stakeholders
Initiative to learn new tools and improve existing processes
Strong self-management and communication in a remote environment
Responsibilities
Data Engineering & Integration
Work with the Head of Data Practice and stakeholders to understand data sources and define data and reporting requirements
Develop and maintain data ingestion pipelines and ETL/ELT processes
Build and maintain API-based and other data integrations
Write and optimise SQL queries and views for relational data transformation
Use Python to process data and automate recurring preparation activities
Interpret existing schemas and maintain structured data models
Contribute to data processing and transformation within Databricks
Validate data completeness, accuracy and consistency from source through to reporting
Investigate and resolve pipeline, integration and data quality issues
Reporting & Business Intelligence
Develop and maintain reports, dashboards, metrics and visualisations for internal and client users
Translate business requirements into effective layouts, visualisations and accurate calculations
Maintain and enhance existing Power BI reports, including troubleshooting and reporting logic updates
Develop reporting solutions using GoodData and Databricks as adoption increases
Migrate and consolidate legacy reporting solutions, including SSRS reports, into newer reporting environments
Validate migrated outputs against agreed requirements
Support visualisations delivered through client portals and embedded reporting environments
Contribute to AI-assisted analytics and natural-language data exploration, including Databricks Genie
Documentation & Delivery
Document data flows, transformations, data models and report logic
Manage assigned engineering and reporting deliverables from development through to completion
Communicate dependencies, progress and issues clearly
Collaborate with the wider technology team and stakeholders
Adapt delivery priorities as business requirements evolve
How we take care of our team
💰 Get paid in Australian Dollars
🏥 Medical insurance from day one for you + spouse (or parents if unmarried)
🩺 Generous OPD coverage from doctor visits to all your medical needs
🏡 Home office setup allowance to build your ideal workspace
🌐 Internet allowance to keep you connected
💪 Gym & wellness allowance to stay fit and balanced
🎉 Work hard, play hard – regular team events & engagement activities
🧠 Diji Assist – Mental health & counseling support when you need it
📚 We invest in you – reimbursement for industry certifications
🗣️ Open-door culture – your ideas and feedback always matter
🌍 Flexible work – home or office, wherever you do your best work
🏆 Rewards & recognition that actually recognize you
🥳 Great christmas & financial year-end parties to unwind with your loved ones
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes