Prospa is now open on Saturdays. Call our team between 10am & 4pm to discuss your loan.


Prospa is driven by its people. Their diversity, skills and passion are the foundation of what we deliver to our customers – where employees are dedicated to achieving stellar results and exceeding customer expectations. Our values: obsess about customers; deliver value fast; day 1; simplicity; be bold, open and real; and one team, inform how we think and act every day. We are also recognised as an AON Hewitt Best Employer in 2017 and 2018 FINNIES Best Fintech Place to Work and a Great Place to Work in 2019.

Prospa helps small businesses across Australia achieve their dreams, by crafting an alternate funding pathway when traditional finance is not available. To date, we've helped over 24,000 unique small business customers across Australia with over $1.4 billion in small business loans.

Prospa has established itself as a clear #1 online lender to small business in Australia and current growth trajectories see the business continuing to invest in its rapidly growing team, currently 210 strong.

This represents a unique opportunity to join one of Australia's most exciting and fastest-growing Fintech businesses with an awesome culture and plenty of further growth.

Prospa is extremely passionate about its people. Their diversity, skills, and passion are the foundation of what we deliver to our customers. Our people, in turn, are driven by our values.

The role

As a Senior Data Engineer, you will be part of our Data Engineering team and engage and partner with Data Analysts, Data Scientists, Product Managers and Software Engineering teams. You will be tasked with extending and optimizing our data platform and architecture to provide a reliable and trustworthy data as a service offering. Your work will ensure our data pipelines are running efficiently, our enterprise data lakes and data warehouses are up to date and operating efficiently, and data is presented to our analysts, scientists and stakeholders in an easy-to-use, trustworthy, and self-serviceable manner.

You will be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Be ready to tackle business problems, provide training on tooling, sharing knowledge on making sense of data, and forge trusted ongoing engagement with our breadth of stakeholders. If you are eager by the prospect of a fast-paced environment, working with a wide range of data tools, and optimizing and bringing our data architecture into maturity to support our growing business needs, this role is for you!

Key responsibilities include

  • You will extend and optimize our information models to meet Business Intelligence and Data Science needs.
  • You will extend and optimize our data pipelines, data lake, and data warehouse. Catering to our ever growing set of data sources, with streaming and batch processing needs.
  • Build reusable tools in Python/Javascript/etc that allows the wider team to deliver value fast with precision.
  • Build using leading practices and implement suitable technologies in developing end-to-end data solutions within Prospa’s cloud environment.
  • Partner with a diverse set of stakeholders to solve data and business problems with self-service and re-usability in mind.
  • Be accountable for the availability, reliability and data quality of our data platforms end-to-end.
  • You will work closely with Prospa Data Engineers, Data Scientists and Data Analyst through peer programming, effective code reviews, and technical consultations.
  • You will work closely with engineering, product and business stakeholders to build technical solutions to meet business objectives.

What you'll need to succeed

  • Sound experience with privacy by design across the data layers an advantage.
  • Good knowledge of financial services and products is an advantage.
  • Experienced using ML and AI to solve data challenges and business problems.
  • Hands-on experience with Azure cloud platforms.

About you

  • 4+ years Data Engineering experience.
  • Proven experience in building, extending and maintaining:
  • Robust and extensible data pipelines for production environments.
  • Secure, performant and well-modeled data stores.
  • Reliable and efficient streaming and batch data environments.
  • Enterprise-grade Data Warehouse and Data Lakes.
  • Experienced in building, scaling, and monitoring resilient distributed systems.
  • Experienced in working with MSSQL, Databricks, Snowflakes/Redshift, Airflow, Spark, Kafka, and accompanying ecosystems.
  • Experienced with cloud platforms in an enterprise environment.
  • Experienced working in Agile Frameworks, including Scrum and Kanban.
  • Extensive experience in Python, JavaScript, and SQL.
  • Experience in working with NoSQL databases and data structures.

Come and Join Our Team

If you can see yourself at Prospa and feel you can contribute to the ongoing success of our company, please hit ‘apply’.

We embrace diversity in our people and our thinking and provide a collaborative, inclusive, innovative and respectful environment. We celebrate who you are, recognise & reward phenomenal achievements, and actively provide our people the same great experience we provide our customers.

We are committed to being an equal opportunities employer and we never discriminate on the basis of race, religion, gender identity or expression, sexual orientation, age, marital or disability status.

With the greatest respect CVs will not be accepted from recruitment agencies at this time