Software Engineer, Palm

• Are you passionate about building data infrastructure from the ground up?
• Do you thrive in high-growth environments where you can shape both the technical architecture and the team?
• Do you want to define how data flows through a platform used by modern finance teams? Then we’d love to hear from you
• 3+ years in a data or back-end engineering role with strong data affinity
• Proficiency in data processing using Python since it powers a significant amount of our data processing
• Comfortable with leveraging AI-assisted workflows and tools in the development process
• Track record of building back-end systems that are the back-bone to analytics, ML and GenAI use cases
• Knows their way around designing data models for row-based databases (e.g. PostgreSQL) and columnar based data warehouses (e.g. BigQuery, Clickhouse)
• Expertise in building integrations with third-party API’s or data integrations using tools like dltHub, Fivetran or Airbyte
• Experience with cloud platforms (GCP preferred), infrastructure as code, and cloud cost optimisation
• A startup mindset being scrappy, product-driven and comfortable with ambiguity
• Strong ownership mentality with the ability to work independently but also collaboratively drive projects to completion
• We're not looking for perfection - if you're passionate about the role and have most of the skills, please apply!

Desirable

• We are a well-funded, early-stage startup on a mission to guide the world's money. Data sits at the center of everything we build, from ingesting financial data, augmenting data through ML & GenAI, to exposing core datasets for financial decision-making
• To accelerate this, we are hiring a Software Engineer, Data to shape and scale our data foundation from day zero
• At Palm, data is at the foundation of everything we do. We're building a sophisticated application that helps enterprises make smarter financial decisions
• You will get the opportunity to build back-end foundations that power embedded analytics dashboards, a ML-powered forecasting engine, and GenAI capabilities
• This role is your chance to architect and build out data-heavy back-end capabilities that will help us scale from being a challenger in the market to a leader in the enterprise treasury space
• This role isn’t about maintaining legacy systems, it's about building foundations
• You'll work directly with our leadership team to define our data strategy, establish best practices, and create the foundation for our data-driven products
• You'll be working side by side with product, ML engineers, and customer operations, with a clear path to technical leadership as we scale
• Design foundations that help us build scalable data ingestion using tools like Airflow, Pubsub and Cloud Run on GCP
• Be at the forefront of using AI assisted workflows, e.g. using coding tools like Cursor and Claude Code, or prepare detailed implementation plans using large-context models like Claude Opus and Gemini 3 Pro
• Set up and manage data integrations using tools like dltHub to power integrations for various financial data sources
• Build and manage our data infrastructure through infrastructure as code and support other engineers in their data & infra needs
• Design a high-performance data warehouse in BigQuery to serve analytics, ML and internal products
• Drive engineering excellence through version control, CI/CD, testing, and reusable frameworks
• To build our data platform collaboratively and support each other in a high-growth environment, we'll have regular in-person sessions with the engineering team and founders
• We'll work together to determine the right cadence that supports both flexibility and collaboration

• We usually respond within a week