Lead ownership of data analytics infrastructure, developing practices for data quality and analytics. Collaborate with teams to enable data-driven decisions and optimize performance across systems and pipelines.
Expression of Interest?
This isn’t a live role - yet.
We’re always looking to meet sharp humans who see the world a little differently and want to help us reimagine how people connect. If the role you’re looking for isn’t listed right now, this is your chance to raise your hand early. We’ll reach out when something opens up that matches your energy, your skills, and where we’re headed next.
What is Blinq?
Blinq is building the fastest, most intuitive way to share who you are and remember who you meet. What started as the world’s #1 digital business card is now the starting point for over 50 million new relationships a year - and growing at unicorn pace.
Our vision is to build the world’s intelligence layer for professional relationships - one that remembers for you, prompts when it matters, and keeps you in play. If that’s the kind of scale and ambition you want to be part of, you’re in the right place.
Why You’ll Love It Here
• Rapid growth: Doubling ARR every few months, expanding our product surface, and rapidly building our team across Sydney, San Francisco, Melbourne, and New York.
• Well-resourced: $45m+ raised from the likes of Blackbird, Touring Capital, Hubspot Ventures, 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.
• Customers love it: 140k+ reviews and a 4.9/5 rating on the App Store - people around the world rely on Blinq to make that first interaction count.
• We work in person, on purpose: We believe creativity and energy are better face-to-face - so we spend 3 days a week in the office and the rest where you work best.
Engineering at Blinq
Our 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 & Impact
We are looking for a Data Engineer to take ownership of Blinq’s data analytics infrastructure. This role provides you with the opportunity to create and develop Blinq’s data practices to maximise business effect. With a great sense of ownership over our data and analytics platforms, you will be positively affecting team member happiness and productivity!At this exciting stage of our growth, we want to ensure our data is scalable and spick and span! You would be working closely with Product and Engineering and liaising with technical and non-technical peers to affect change.
Be part of a start-up business and product-led growth at Blinq!
This is a hybrid role working from our Melbourne or Sydney locations.
What You'll Do
- In this role you would become a go-to owner of our data and analytics platforms.
- Maintaining our analytics infrastructure and dashboards, using a variety of tools.
- You will be helping a small product company make best-informed data-driven decisions and aligning our data strategy to our broader business goals.
- Critiquing our data to ensure its accuracy.
- You will be working closely with Product and Engineering teams to determine where best to measure success.
- You will drive cross-functional efforts related to data quality, reporting, insights and remediating data inconsistencies and incompleteness to answer business questions.
- You will design, construct, install, and maintain data processing systems and databases.
- Integrating data from a variety of sources, ensuring data consistency and reliability.
- Building and maintaining efficient data pipelines to support the collection, transformation, and loading (ETL) of data into data warehouses or data lakes.
- Optimizing data processing systems for performance and scalability.
- Implementing data quality checks and validation processes to ensure the accuracy and reliability of data.
- Documenting data processes, architecture, and workflows to ensure clarity and continuity.
What You'll Bring
- You are a great collaborator who can work to understand the needs of different stakeholders and develop a strategy which considers each of these.
- You are a strong communicator and are confident at being an evangelist and driving internal education around your data.
- Strong SQL data wrangling skills.
- Experience in using a data modeling tool like dbt.
- Experience in using Python or R.
- You have worked on a modern event data stack and are familiar with Segment, Amplitude, Looker Studio, BigQuery, Google Analytics and AWS/GCP (desirable).
- You have a strong vision of how an industry-leading modern analytics stack looks like, and can develop a clear strategy for building this out
- A solid grounding in mathematics and statistics.
- You are highly visual & numeric with the ability to communicate highly complex information in clear and simple language.
- Exposure to data systems that support machine learning, and to database migration and/or modernisation projects desirable.
- Experience in A/B Testing is highly desirable.
What You Get
We hold a high bar and move with intent. You’ll get the clarity, trust, and ownership to meet it - and a team that pushes to do the best work of our lives. We back that with:
• Equity & ownership: We’re building something massive, and we want you to share in the upside. Genuinely.
• Competitive salary & growth path: As Blinq grows, your role and compensation grow with it - no glass ceilings here.
• Generous paid time off: At least 20 days fully disconnect each year, with a flexible policy beyond that.
• Parental leave that grows with you: 12 to 26 weeks full pay, based on tenure.
• Free food: Enjoy daily breakfast and lunch at some of our offices, plus an always-stocked snack bar.
Top Skills
Amplitude
AWS
BigQuery
Dbt
GCP
Google Analytics
Looker Studio
Python
R
Segment
SQL
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