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