Data Engineer

Reposted 21 Days Ago
Be an Early Applicant
Wollongong, New South Wales
In-Office
Mid level
eCommerce • Fintech • Payments • Retail • Financial Services
The Role
Join Scalapay as a Data Engineer, developing ETL/ELT pipelines, optimizing data warehouse performance, and implementing AI-powered tools while collaborating with diverse teams.
Summary Generated by Built In

 

At Scalapay, we’re shaping a culture with high standards, independent and critical thought, innovation, ownership, and continuous learning. We operate in a fast-moving, tech-driven environment, and we’re looking for people who thrive in change, think boldly, and take initiative.

If you’re ready to put your potential to the test in a hiring process designed to spotlight exceptional talent, this is your chance to stand out and grow with one of Europe’s most ambitious fintech teams.

#MakeItHappen #PlayAsATeam #StayCurious #FocusOnCustomer.

The Mission:

We’re looking for a talented and driven Data Engineer to join our Data Team that’s solving complex data challenges in the fintech space. As our business rapidly expands across new markets and product lines, so too does the scale and complexity of our data ecosystem.

About the Role
This role offers a unique opportunity to help build and evolve scalable, high-quality data systems that support everything from analytics and reporting to real-time operational decision-making. You'll work closely with product managers, analysts, and engineers to design solutions that are robust, maintainable, and optimized for growth.

We believe in treating data as a product and applying strong software engineering practices to everything we build. You'll also play a role in the development of internal tools, including natural language interfaces powered by AI, that help democratise data access across the company.

What You'll Be Doing

  • Develop and maintain robust ETL/ELT pipelines using dbt, Kafka, and Change Data Capture (CDC) mechanisms.

  • Design and evolve our Snowflake-based data warehouse with a strong focus on dimensional modelling and performance optimization.

  • Automate infrastructure and deployments using Terraform and manage workflows in a cloud-native environment.

  • Integrate data from multiple sources (internal databases, APIs, and third-party tools) with best practices in scalability and security.

  • Support our team's shift toward modular, testable, and well-documented pipelines using software development best practices.

  • Write clean, maintainable code in Python, including internal domain-specific transformations and utilities.

  • Operate within a modern DevOps toolchain, leveraging AWS services such as S3, Lambda, API Gateway, and SageMaker.

  • Contribute to the development and expansion of AI-powered tools, including our internal Slack bot that enables natural language access to data and documentation.

About You

  • 2–3 years of experience in data engineering or backend development roles with strong data pipeline exposure.

  • Advanced SQL skills with proven experience in dimensional modeling and analytical database performance tuning.

  • Experience with Snowflake (or other columnar data warehouses) and data transformation tools like dbt.

  • Solid understanding of data streaming concepts and tools like Apache Kafka and Flink.

  • Familiar with Infrastructure as Code practices, especially using Terraform.

  • Proficiency in Python, ideally with experience building utilities or data-specific libraries.

  • Exposure to AWS cloud services, particularly S3, Lambda, API Gateway and SageMaker.

  • Familiar with software development best practices such as version control (Git), testing, and CI/CD.

  • A problem-solver mindset with a strong focus on delivering business value through data.

  • Must have valid Australian working rights

  • Bachelor's degree in Computer Science, Mathematics or Statistics

Nice to Have

  • Experience working with event-driven architectures and CDC tools like Debezium.

  • Familiarity with orchestration tools (Airflow, Dagster) or alternative job schedulers.

  • Exposure to generative AI applications, frameworks or natural language interfaces in data tooling.

  • Knowledge of data governance, lineage, and cataloging tools.

Why Join Us?

  • Work with a global passionate, collaborative, and experienced team.

  • Help shape and extend our AI-powered internal Slack bot, giving teammates seamless access to data and insights via natural language.

  • Have real impact on how data is leveraged across a fast-growing organization.

  • Be part of a company that values innovation, autonomy, and data-driven decision-making.

  • Grow professionally with training, mentorship, and cutting-edge technologies.

  • Competitive Salary packages including ESOP and onsite parking provided

Want to learn more? Don't hesitate to explore our Careers website, our LinkedIn and Glassdoor pages. 

Pro tip: send your CV in English 😉

Super Pro tip: we know that application processes can be scary and frustrating but… we look for talent, not people that tick all our boxes.

We believe in the power of diversity: Scalapay is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation.

Top Skills

Aws Api Gateway
Aws Lambda
Aws S3
Aws Sagemaker
Change Data Capture
Dbt
Kafka
Python
Snowflake
Terraform
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Dublin, County Dublin
202 Employees
Year Founded: 2019

What We Do

Scalapay is an innovative payment method which allows a customer to defer payments through 3 or 4 interest-free installments. The buy now pay later service is available in over 7.000 physical stores and in the e-stores of more than 5.000 brands. The cost of the service is totally free for the customer and is financed by a commission applied to retailers who are immediately paid for their product. Scalapays’ service has seen a 48% increase in the average order value, an increase in cart conversion, and a decrease in its abandonment rate. Over a period of three months, 65% of platform users return to the store or e-commerce they purchased from using Scalapay

Similar Jobs

Deputy Logo Deputy

Data Engineer

HR Tech • Information Technology • Software
Easy Apply
Remote or Hybrid
Sydney, New South Wales, AUS
500 Employees

DXC Technology Logo DXC Technology

Data Engineer

Information Technology
In-Office
Lake Macquarie, New South Wales, AUS
86261 Employees

Sleek Logo Sleek

Data Engineer

Fintech • Financial Services
In-Office or Remote
4 Locations
405 Employees

INTELLIGEN Logo INTELLIGEN

Consultant

Information Technology • Software • Database
In-Office
2 Locations
39 Employees

Similar Companies Hiring

PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Rain Thumbnail
Web3 • Payments • Infrastructure as a Service (IaaS) • Fintech • Financial Services • Cryptocurrency • Blockchain
New York, NY
40 Employees
Scotch Thumbnail
Software • Retail • Payments • Fintech • eCommerce • Artificial Intelligence • Analytics
US
25 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account