We're hiring! Data Engineering Lead

About the role:

We're seeking a Data Engineering Lead to advance and scale our data infrastructure, giving our global team superpowers! As a key early technical hire, you'll have significant influence in shaping our data strategy and architecture. You'll bring technical leadership and hands-on expertise to evolve our existing data platforms and implement new solutions that strengthen our investment and operational processes across Australia, Israel, and Southeast Asia.

Core Responsibilities:

• Lead the technical implementation and evolution of our data platforms, building solutions that enhance our investment and operational capabilities.
• Design and develop a scalable AWS-based data infrastructure that enables automated data ingestion, processing, and analysis from multiple sources.
• Create and maintain robust data pipelines that efficiently process, transform, and integrate data across our systems and regions.
• Enhance and scale our existing machine learning systems, applying advanced techniques to further improve our ability to evaluate opportunities.
• Develop automated data enrichment processes that maximise the value of our data assets and provide deeper insights.
• Develop analytics capabilities that provide actionable insights and metrics to support strategic decision making.
• Guide the evolution of our data architecture to support future capabilities while ensuring scalability and flexibility.
• Collaborate with investment and operations teams to make strategic decisions around tools and technologies.
• Ensure solutions integrate seamlessly with existing workflows, meeting our team where they live.
• Evaluate and integrate new technologies and approaches as they emerge in the data and AI landscape.

What success looks like:

• Build solutions that our team actively adopts because they genuinely enhance their workflows and productivity.
• Successfully implement data infrastructure that enables tangible improvements in workflows across all regions.
• Create scalable systems that can evolve alongside our needs while maintaining reliability.
• Establish data engineering practices that balance innovation with practical, maintainable implementation.

About you:

• At least 8 years of professional experience in data engineering roles, with a proven track record of leading significant data initiatives.
• Strong data engineering background with expertise in Python (with node.js understanding being beneficial) and familiarity with AWS cloud services as well as Supabase and Pinecone.
• Proven experience designing and implementing end to end data pipelines that ingest data from diverse sources (APIs, databases, files and custom captured), transform it efficiently and make it readily available. 
• Experience working in fast-paced startup environments or innovative tech teams where you’ve built systems from the ground up. 
• Experience implementing and scaling machine learning systems with a track record of balancing flexibility and maintainability in data infrastructure while delivering tangible business impact.
• Strategic thinker who can maintain the right balance between pragmatism and technical excellence. You enjoy architecting solutions and writing the code to bring them to life.
• Comfortable working in a lean team environment where you’ll wear multiple hats and have broad impact. 
• Strong communicator who can explain complex concepts to non-technical stakeholders and work effectively across diverse teams.
• Excited about being an early technical leader who will shape our data foundation, driven by genuine curiosity and passion for transforming AI technologies into competitive advantages.

Culture and benefits:

At the heart of Square Peg's global team is a commitment to our shared values: be yourself, anchor to optimism, unleash curiosity, empower through trust and be bold.

Square Peg is a people-first working environment. We encourage flexible/remote work and provide beautiful team facilities in Sydney, Melbourne, Singapore and Tel Aviv. We also organise regular team-building events to bring our global team together while promoting a culture of fun and wellness.

• Flexible work policy
• 18 weeks of paid parental leave for both primary and secondary carers
• Wellness programme and allowance
• Learning allowance
• 4 weeks of annual leave
• Significant additional leave for life’s unexpected emergencies

To learn more or apply, please email Lucy Kratky, Talent Lead at Square Peg (lucinda@squarepeg.vc)