Data Engineer

• 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

Originally posted on Himalayas

• Data Engineer
• BI Developer
• ETL Developer
• Data Analyst

Source: Himalayas