Data Engineer

Job Summary

Client is a wholly owned subsidiary of the Little Group, a privately-owned group of companies that includes Port Phillip Ferries, Melbourne Jet Base and Little Real Estate, one of the largest residential property management companies in Australia.

Company Objective: Our goal is to help real estate agencies across Australia shift the paradigm in the property management industry by providing the technology needed to perfectly balance the relationship between renters, owners and property managers. We believe we can make it possible for people to truly love renting, owning and managing properties. And we come to work every day to make this happen.

Role

As a Data Engineer, you are responsible for Designing and implementing big data technologies through the application of high-performance computing, large scale data integration and emerging analytical platforms.

Key Responsibilities

Data Collection and Interpretation: Gather and interpret data from various sources to identify relevant information and insights

Pattern and Trend Identification: Analyze data sets to identify patterns and trends, enabling informed decision-making and forecasting

Insight Derivation: Derive actionable insights and forecasts from data analysis, supporting business objectives and strategies

Data Quality Assessment: Assess data quality and implement remediation measures to ensure accuracy and reliability

Data Mapping: Map data from different sources to facilitate integration and compatibility

Report Creation and Data Visualization: Create comprehensive reports and visualize data using reporting tools to effectively communicate findings and insights

Data Pipeline Management: Build and maintain data pipelines to streamline the flow of information and automate processes

Process Enhancement: Identify opportunities for process enhancements and contribute to their implementation to improve efficiency and effectiveness.

Key Requirements

Proficiency in analysing large data sets and writing comprehensive reports

Excellent analytical skills with the ability to identify trends, patterns, and insights from data

Strong attention to detail and methodical mindset

Strong problem-solving skills

Intermediate understanding of databases and data models

Hands-on experience with SQL database design

Experience designing, developing, and publishing data ETL pipelines

Exposure to Azure Data Factory (ADF) and Azure Storage

Team skills and collaboration.

Desirable Skills

• Understanding of reporting and data visualisation tools such as Power BI
• Excellent communication skills

Education in Mathematics, Computer Science, or Statistics

Knowledge of programming languages such as Python or C#.

Relationships

Internal Relationships

Tech Team

Data Team

Lead Data Engineer

CX Team

Customer Success Team.

Benefits

Flexibility in work hours and location, with a focus on managing energy rather than time.

Access to online learning platforms and a budget for professional development

A collaborative, no-silos environment, encouraging learning and growth across teams

A dynamic social culture with team lunches, social events, and opportunities for creative input

Health insurance

Leave Benefits

Provident Fund

Gratuity

If you possess the required skills and are eager to contribute to our team's success, we encourage you to apply for this exciting opportunity. Apply now!

#GrowWithTeamified #TeamifyYourCareer

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