Data Engineering Manager
Melbourne, Victoria
Blinq
The best digital business card for individuals and teams. Create your free digital business card or get your team set up in seconds. Raise your networking game today.Why You’ll Love It Here • Customers love it: Over 100K reviews and a 4.9/5 rating on the App Store - people around the world rely on Blinq to make that first interaction count.• Rapid growth: Doubling ARR every few months, expanding into new markets, and rapidly building our team across Sydney, Melbourne, San Francisco, and New York• Well-resourced: Backed by top VCs like Blackbird and Square Peg, we’re continuously investing in the people and tools that fuel our mission.• A rare moment to join: We’re hitting an inflection point - big enough to have momentum, small enough for you to shape the journey.• The way we work: We value real connections, inside and out - our offices buzz with creativity, and fresh ideas can come from anywhere. We’re big believers in the spark that happens when people come together in person. That’s why we spend three days a week collaborating in the office - trading ideas, solving problems face-to-face, and celebrating small wins. The rest of the week is yours to work wherever you’re most productive.
Engineering at BlinqOur engineering team is the engine behind Blinq’s success. We’re building tools that make sharing who you are instant and human. Every line of code, every release, and every experiment is focused on driving meaningful impact. If you thrive on solving complex, high-impact problems with a tight-knit team, you’ll feel right at home here.
Role & ImpactWe’re looking for a Data Engineering Manager to lead the evolution of Blinq’s data infrastructure and unlock the full power of our analytics and product insights. You’ll own the systems that help us understand how people connect—and ensure they scale with our growth. This role is equal parts strategy and execution.
You’ll lead a high-performing team of data engineers and analysts, scale the pipelines and models that drive smarter decisions, and shape how data flows across our product and business. Whether it’s powering real-time product features or enabling revenue teams with actionable insights, your work will make Blinq sharper, faster, and more intelligent.
You’ll also play a key role in defining how we build and scale our data platform—balancing reliability, performance, and agility as we grow. If you're energized by building clean, modern data systems and love turning complexity into clarity, this role is for you.
This is a hybrid role based in either Melbourne or Sydney.
What You'll Do
- Own and scale Blinq’s data infrastructure: Architect and evolve a robust, scalable data platform that powers everything from internal analytics to product-led insights
- Lead and grow a high-performing data engineering team: Hire, mentor, and develop talented engineers who thrive in a fast-moving environment. Foster a culture of curiosity, technical excellence, and strong execution
- Collaborate cross-functionally to drive data strategy: Partner with Product, Engineering, GTM, and Analytics to translate business needs into scalable data systems and pipelines
- Build clean, reliable, and actionable data pipelines: Design and implement ETL/ELT workflows that ensure data is trustworthy, accessible, and ready to power decision-making and user-facing features
- Define and maintain high standards for data quality and governance: Establish and enforce best practices around lineage, validation, privacy, and security—ensuring the business can trust what it sees
- Support analytics and experimentation at scale: Work with analytics and product teams to support A/B testing, cohort analysis, and other data-driven initiatives that inform roadmap and strategy
- Improve velocity and developer experience: Identify bottlenecks in how data is produced, transformed, and consumed—and implement tooling and processes that make teams faster, more confident, and more self-serve
What You'll Bring
- Leadership Experience: 3+ years in a data or engineering leadership role, ideally within a high-growth tech company or startup environment. You've led high-performing teams and know how to scale culture and systems alongside product demand
- Deep Data Engineering Expertise: Strong hands-on background in data architecture, pipeline design, and infrastructure. You're fluent in modern data stacks—think dbt, Airflow, Snowflake, BigQuery, or similar. You understand how to build for performance, scale, and maintainability
- Builder’s Mentality: You’re comfortable rolling up your sleeves and making technical contributions when needed, but equally skilled at stepping back to architect for the bigger picture. You know when to go fast and when to design for long-term flexibility
- Product-Led Data Thinking: You’ve partnered closely with Product and Analytics teams to enable smarter decision-making, build user-facing data features, and turn insights into impact. You know how to translate business problems into scalable technical solutions
- People & Communication Skills: Clear communicator with a strong coaching instinct. You give thoughtful feedback, set sharp expectations, and create a culture where engineers feel trusted, challenged, and supported
- Tech Stack Familiarity: Bonus if you bring experience with our broader stack (Node.js, TypeScript, Postgres, GraphQL) or have worked with event-driven and stateless systems
• Equity & ownership: We’re building something massive, and we want you to share in the upside.• Competitive salary & growth path: As Blinq grows, your role and compensation grow with it - no glass ceilings here.• Generous paid time off: We encourage everyone to take at least 20 days fully disconnect each year, with a flexible policy beyond that.• Parental leave: Inclusive policies to ensure you have the support you need for your family.• Free food: Enjoy daily breakfast and lunch in the office, plus an always-stocked snack bar.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Airflow Architecture BigQuery Data pipelines Data quality Data strategy dbt ELT Engineering ETL GraphQL Node.js Pipelines PostgreSQL Privacy Security Snowflake Spark Testing TypeScript
Perks/benefits: Career development Competitive pay Equity / stock options Flex vacation Home office stipend Parental leave Salary bonus Startup environment
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