Expressions of Interest: Senior Data Engineer

Blinq

Melbourne

Sur place

AUD 100 000 - 140 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Equity & ownership
Competitive salary & growth path
Generous paid time off
Parental leave
Free food

Résumé du poste

A forward-thinking technology company in Melbourne is seeking a Senior Data Engineer to manage its data analytics infrastructure. In this role, you'll be responsible for driving data quality, supporting data-focused decisions, and collaborating with product and engineering teams. The ideal candidate is skilled in SQL and modern data tools, passionate about data, and enjoys working in a dynamic environment. This position offers competitive pay and significant growth opportunities.

Qualifications

  • Strong SQL data wrangling skills.
  • Experience using a data modeling tool like dbt.
  • Experience in Python or R.
  • Solid grounding in mathematics and statistics.

Responsabilités

  • Become the go-to owner of our data and analytics platforms.
  • Maintain our analytics infrastructure and dashboards.
  • Drive cross-functional efforts related to data quality.
  • Document data processes, architecture, and workflows.

Connaissances

SQL data wrangling skills
Strong communicator
Collaborator
Python or R experience
Modern event data stack familiarity
Data modeling tool experience

Outils

Segment
Amplitude
Looker Studio
BigQuery
Google Analytics
AWS/GCP

Description du poste

Expressions of Interest: Senior Data Engineer

1 day ago Be among the first 25 applicants

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: $45 m+ 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: 140 k+ 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 three 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 will be working closely with Product and Engineering and liaising with technical and non‑technical peers to affect change.

What You’ll Do

  • Become the go‑to owner of our data and analytics platforms.
  • Maintain our analytics infrastructure and dashboards, using a variety of tools.
  • Help a small product company make best‑informed data‑driven decisions and align our data strategy to broader business goals.
  • Critique our data to ensure its accuracy.
  • Work closely with Product and Engineering teams to determine where best to measure success.
  • Drive cross‑functional efforts related to data quality, reporting, insights and remediating data inconsistencies and incompleteness to answer business questions.
  • Design, construct, install, and maintain data processing systems and databases.
  • Integrate data from a variety of sources, ensuring consistency and reliability.
  • Build and maintain efficient data pipelines to support collection, transformation, and loading (ETL) of data into data warehouses or data lakes.
  • Optimize data processing systems for performance and scalability.
  • Implement data quality checks and validation processes to ensure the accuracy and reliability of data.
  • Document 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 confident evangelist, driving internal education around your data.
  • Strong SQL data wrangling skills.
  • Experience using a data modeling tool like dbt.
  • Experience 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 to communicate complex information simply.
  • Exposure to data systems that support machine learning, database migration, and/or modernisation projects is desirable.
  • Experience in A/B testing is highly desirable.

What You Get

  • 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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