One of the Fastest-growing Fintechs is Hiring! Join the ANNA Money Team: Revolutionising Business Administration for Australian SMEs.

At ANNA Money, we’re more than just a mobile app and business current account—we’re transforming the way small businesses handle banking, tax, and financial admin. As a Top 25 Startup (Bloomberg, 2024) and one of the fastest-growing fintechs in Europe, we are now bringing our innovative financial services to Australia.

Our mission is simple: eliminate the hassle of tax, invoicing, and admin so that business owners can focus on their passions. By combining cutting-edge AI, automation, and intuitive financial tools, we make business administration effortless. With over 120,000 customers and a rapidly expanding product suite, ANNA is at the forefront of fintech innovation.

Now, we’re looking for a Data Engineer to join our Sydney team and help build the data infrastructure behind our new deposit-holding account (ANNAOne) and our rapidly growing business credit card product.

The opportunity

As a Data Engineer at ANNA, you’ll be at the heart of our banking and credit data ecosystem, designing and scaling data pipelines, real-time analytics, and machine learning infrastructure. You’ll work on:

• ANNAOne – our newly launching deposit account, ensuring data flows seamlessly between banking, compliance, and customer insights systems.
• ANNA’s Business Credit Card – a fast-scaling product, where your work will support credit risk modelling, fraud detection, and transaction intelligence.

This role sits at the intersection of data engineering, fintech infrastructure, and AI-driven analytics, giving you the opportunity to shape ANNA’s future in Australia and beyond.

What you’ll do

• Design and Build Data Pipelines – Develop scalable ETL/ELT pipelines to process real-time financial and transactional data.

• Support Banking & Credit Products – Create robust data architectures that power both deposit accounts and credit decisioning.

• Enhance Fraud Detection & Credit Risk Models – Work closely with data scientists and risk teams to refine credit scoring models, transaction monitoring, and fraud prevention.

• Optimize Data Processing & Storage – Build high-performance data solutions using Google Cloud (BigQuery, AlloyDB, PostgreSQL, Kafka, etc.).

• Enable Data-Driven Decision Making – Develop self-service analytics tools for product, finance, and risk teams.

• Ensure Compliance & Security – Implement best practices for data governance, security, and regulatory compliance in fintech.

• Deploy ML Models into Production – Partner with data scientists to operationalize machine learning models for automated insights.

About you

You’re a data-driven problem solver who thrives in fast-paced fintech environments. You understand how data fuels decision-making, risk management, and customer experiences. You’re excited by the opportunity to work on both banking and credit products, and to shape ANNA’s Australian expansion from day one.

Requirements

Key skills & experience

• 5+ years of experience in data engineering, analytics engineering, or data architecture.

• Proficiency in SQL & Python (experience with Pandas, NumPy, or Spark is a plus).

• Experience with modern data platforms, such as Google Cloud (BigQuery, AlloyDB, CloudSQL) or AWS (Redshift, S3, Glue).

• Strong understanding of ETL/ELT pipelines, real-time streaming (Kafka, Pub/Sub, RabbitMQ), and data orchestration (Airflow, dbt, Dagster).

• Familiarity with financial data – understanding banking APIs, credit risk modelling, or Open Banking data is a big plus.

• Knowledge of data governance, security, and compliance best practices in financial services.

• Hands-on experience with CI/CD pipelines, Kubernetes, and workflow automation tools.

Nice-to-have skills

• Experience with financial transaction data, Open Banking APIs, or credit risk analytics.

• Knowledge of ATO tax compliance frameworks and regulatory reporting.

• Exposure to machine learning engineering (MLflow, Vertex AI, or TensorFlow Serving).

• Experience with real-time fraud detection and anomaly detection.

Why join us?

• Be a Founding Data Engineer in Australia – Play a pivotal role in shaping ANNA’s data infrastructure as we expand into a new market.

• Work Across Banking & Credit – Support both a new deposit account (ANNAOne) and a fast-growing credit card product.

• Join a Global Fintech Leader – ANNA is a Top 25 UK Startup and is rapidly expanding internationally.

• Use Cutting-Edge Tech – Work with a modern data stack, including Google Cloud, BigQuery, Kafka, Kubernetes, and AI-driven analytics.

• Impact Thousands of Businesses – Your work will power data-driven decision-making for Australian SMEs and freelancers.

• Opportunities for Growth – As ANNA expands in Australia and beyond, you’ll have opportunities to grow into leadership roles.

Benefits

What we offer

• Competitive Salary – A package that reflects your skills and experience.

• Equity & Ownership – Participate in our company growth share scheme.

• Work-Life Balance – Hybrid work model with flexibility to work remotely.

• Learning & Development – A personal learning budget for upskilling and career growth.

• Company Perks – Private health insurance, travel budget, and pension contributions.

• Generous Leave – 25 days of annual leave + Australian public holidays.

Our culture

At ANNA, we move fast, innovate boldly, and focus on impact. We believe in creating a collaborative, diverse, and inclusive work environment where everyone has a voice. If you’re passionate about fintech, data, and automation, you’ll thrive here.

How to apply

If you’re excited about scaling data infrastructure for fintech and want to be part of ANNA’s expansion into Australia, we’d love to hear from you. Apply now and help us revolutionize banking, credit, and tax administration for Australian SMEs!