Data Engineer (CIT05192026)

About Us 

Buddle was founded to address the growing demand for reliable and efficient staffing solutions across diverse industries globally. Our mission is to seamlessly connect businesses with skilled professionals, fostering long-term partnerships that benefit both parties. At Buddle, we prioritise trust, value, and sustainability in every staffing solution we provide.

About the Role
We are looking for a Data Engineer who is passionate about building scalable data pipelines, analytics systems, and reporting workflows that help drive smarter business decisions and improve customer experiences. In this role, you’ll play an important part in transforming raw data into meaningful insights through reliable, efficient, and well-structured data solutions.

You’ll work closely with cross-functional teams across Engineering, Product, Operations, Legal, and Analytics to develop scalable data and backend solutions that support the company’s growth and strategic goals. We’re looking for someone who enjoys solving problems, thrives in collaborative and fast-paced environments, and is excited to continuously learn and adapt to new technologies and evolving business needs.

Key Responsibilities
Data Engineering & Analytics

Design, build, and maintain ETL/ELT pipelines for structured and unstructured datasets

Process and analyze customer, operational, and financial transaction data

Develop scalable data workflows and reusable scripts for automation and reporting

Maintain data models, metric definitions, and analytics documentation

Optimize SQL queries and improve data processing performance and reliability

Integrate external data sources such as ABS and Census datasets into existing databases

Support cloud-based data platforms and modern data lakehouse environments

Reporting & Insights

Build dashboards and reports for internal and external stakeholders

Translate business requirements into actionable analytics and reporting solutions

Support KPI tracking, operational reporting, and customer behavior analysis

Help identify trends, anomalies, and opportunities through data-driven insights

Provide insights that support operational, legal, and growth-related decision-making

Collaboration & Continuous Improvement

Collaborate with engineers, analysts, and stakeholders in agile environments

Participate in planning, testing, debugging, and deployment activities

Contribute ideas to improve workflows, system reliability, and engineering processes

Adapt quickly to changing priorities and evolving business requirements

Support development of reusable templates, modular scripts, and data engineering best practices

Other Responsibilities

Support additional engineering or analytics initiatives as needed

Identify opportunities to improve processes, systems, and performance

Contribute to a collaborative and high-performing team environment

Assist in maintaining data quality, governance, and documentation standards

About You

1–3 years of experience in data engineering, analytics, or software engineering

Strong understanding of data pipelines, databases, and reporting systems

Hands-on experience with SQL, Python, and data transformation workflows

Familiarity with cloud platforms such as AWS, GCP, or Azure

Exposure to modern data platforms including Databricks, Snowflake, Airflow, or DBT

Experience working with dashboards and reporting tools such as Power BI or similar BI platforms

Strong problem-solving and analytical thinking skills

Ability to quickly learn new technologies and adapt to evolving environments

Comfortable working in agile, fast-paced, and collaborative teams

Exposure to fintech, payments, financial systems, or large-scale datasets is an advantage but not required

Buddle Benefits Included

Health insurance

Internet allowance

KPI incentive program

Fortnightly virtual happy hour

Annual group offsites

Finer Details

Schedule: TBD

Start Date:
TBD