Principal Data Engineer

Job not on LinkedIn

August 24

Apply Now

Receive Emails with Similar Jobs

PEXA

WebsiteLinkedInAll Job Openings

Real Estate • Fintech • Enterprise

PEXA is a digital property settlement platform that revolutionizes the way property is exchanged in Australia. Founded in 2010, the company connects lawyers, conveyancers, financial institutions, and the property industry to streamline and secure the property settlement process. Backed by a government initiative, PEXA offers a range of integrated solutions like PEXA Exchange, PEXA Projects, and PEXA Key, which provide features such as digital signing, settlement notifications, and bulk transaction management. PEXA also delivers property insights through brands like . ID Informed Decisions and Land Insight, helping businesses and government make informed property-related decisions. With a focus on security, collaboration, and innovative digital infrastructure, PEXA continues to enhance the property community's connectivity.

201 - 500 employees

Founded 2010

🏠 Real Estate

💳 Fintech

🏢 Enterprise

📋 Description

• Hi, we’re Smoove, part of the PEXA Group. • Define, lead, and scale the technical strategy of our data platform as Principal Data Engineer. • Own end-to-end quality, performance, and scalability of data systems from ingestion to trusted datasets. • Evolve data ecosystem built on AWS, Azure and Databricks to meet future business needs. • Ensure data is secure, compliant, discoverable, and business-ready. • Mentor engineers, define architecture, and optimise distributed pipelines at scale.

🎯 Requirements

• Design and oversee scalable, performant, and secure architectures on Databricks and distributed systems. • Anticipate scaling challenges and ensure platforms are future-proof. • Lead the design and development of robust, high-performance data pipelines using PySpark and Databricks. • Define and ensure testing frameworks for data workflows. • Ensure end-to-end data quality from raw ingestion to curated, trusted datasets powering analytics. • Establish and enforce best practices for data governance, lineage, metadata, and security controls. • Ensure compliance with GDPR and other regulatory frameworks. • Act as a technical authority and mentor, guiding data engineers. • Influence cross-functional teams to align on data strategy, standards, and practices. • Partner with product, engineering, and business leaders to prioritise and deliver high-impact data initiatives. • Build a culture of data trust, ensuring downstream analytics and reporting are always accurate and consistent. • Evaluate and recommend emerging technologies where they add value to the ecosystem.