Data Engineer

We’re Slyp, Australia’s first and only independent fintech backed by all four major banks.

We build solutions that are simple on the outside but complex on the inside. The type of solutions that make you wonder why they never existed before.

Founded by former PayPal executives in 2017, Slyp has created the Smart Receipt. Set to be Australia’s new receipt standard, the Smart Receipt is sent right inside your bank app. Convenience at its finest, while taking action for our planet.

Australia prints a whopping 1 billion meters of non-recyclable toxic paper receipts each year. But this is just the start of the problem. Paper receipts are also a missed opportunity to understand and engage shoppers’ post-purchase.

We’re at a pivotal moment of growth. More than 13 million Aussies will have access to Smart Receipts in their bank app by the end of 2022. And we’re building even more solutions off the back of the Smart Receipt, shaping the future of data-driven in-store experiences.

Our values – ‘the Slyp six’ – form the heart of everything we do. And they’re part of the reason we’re now 50 Slypsters strong and recently picked up a bunch of awards: Fintech Awards 2021 Australian Fintech of Year, CEO of the Year, Best Social Mission, and Best Fintech-Bank Collaboration & a Pause Fest “I wish I’d done that” award finalist.

This is your chance to join as part of Slyp’s foundational team as we shape the future of data driven in-store experiences.

What does a normal day look like

• Build, maintain and improve Slyp’s data lake platform. This includes working with raw and optimised data formats and making the data accessible to external tooling
• Build, maintain and improve a data warehouse. This includes building infrastructure, data lake integration and support for reporting and data products
• Work with the data team to define data models.
• Plan, scope and build data products and infrastructure.
• Follow and contribute to engineering best practices.
• Engage with engineering and product in planning, design, code reviews, and technical discussions.
• Build data platforms and products that can cope with huge scale
• Secure access to data to authorised users.
• Experiment with new technologies. We're always open to solving problems utilising new thinking.

What experience or knowledge you will bring to the team

• Passion about all things data and engineering.
• This is not your first rodeo. You have some experience shaping Data Engineering in a start-up or the early stages of a data function before.
• Highly efficient in python & SQL
• Comfortable around data lake and data warehousing practices, and integration techniques
• In-depth knowledge in Software Engineering, Design Patterns and Agile Software Development.
• Experience with cloud-based data platforms, such as Elasticsearch, Hadoop, AWS Redshift, AWS EMR and Dynamo DB.
• Experience with the CICD of data platforms.
• Expertise in creating ETLs that are highly efficient and scalable.
• A deep understanding of what it takes to build scalable platforms using techniques around eventual consistency, caching and monitoring.

Finally, a little on our technology

• Cloud based and AWS hosted.
• We lean heavily on AWS serverless technologies such as API Gateway (including CloudFront, WAF and Shield), Lambda, Kinesis and SQS.
• We store data in AWS Aurora (Postgres), DynamoDB and S3.
• Our data lake is based on AWS serverless technologies such as Kinesis, Lambda, S3 and Glue.
• We embrace native mobile and make it easier for our partners to integrate our SDKs.
• We have traditional NodeJS services running in EKS / Kubernetes.
• Our base is a mix of Javascript, Typescript, NodeJS, HTML5, CSS, React, Redux and some Angular.
• We value customer data and keep security front of mind and at our core with AWS SecurityHub.

Benefits

• Competitive salary + equity
• Uncapped annual leave. We dig deep when we need to, but know rest and recovery is just as important.
• Giveback days.
• Generous L&D program: we want you to continue to hone your craft.
• Parental leave, flexible work, and the option to work from anywhere in the world for a period.
• Sweet offices, monthly (sometimes random) lunch and learns and always on team fun.