Improve upon existing systems that collect, manage and convert data for our teams to interpret in a meaningful way. Experience with building AI/ML models and rule-based engines required.

Responsibilities
Design, build, and maintain scalable data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data solutions meet business needs.
Implement and optimise data models, data architecture, and data warehousing solutions for effective data retrieval and analysis.
Monitor data systems’ performance, identify bottlenecks, and implement solutions to optimise data processing and storage.




Ensure data security and privacy measures are in place to safeguard sensitive information and comply with relevant regulations.

Job requirements
Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
Solid programming skills in languages such as Python, Java, Scala, or SQL for data manipulation and analysis.
Proficiency in working with big data technologies, such as Hadoop, Spark, or similar distributed computing frameworks.
Experience with data modeling, data warehousing, and ETL development using tools like Apache Airflow or similar.
Knowledge of database systems like MySQL, PostgreSQL, MongoDB, or Cassandra.
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📌 Data Engineer Sydney
🏢 Lendaly Pty
📍 Sydney