Staff Data Engineer
2 weeks ago
If you can make that experience special, you can start to build a great second interaction, and so on.
Blinq is the tool to help people do that.
We're building a platform that allows you to share a snapshot of who you are with anyone, anywhere via digital business cards, dynamic email signatures, and virtual backgrounds.
Join us on our mission to help the world connect.
The Role: We are looking for a Staff Data Engineer to take ownership of Blinq's data engineering infrastructure.
This is a great opportunity to lead and develop Blinq's data practices, maximizing business impact.
At this exciting stage of our growth, we want to ensure our data is scalable, reliable, and ready for the future.
You would work closely with Product and Engineering teams, collaborating with technical and non-technical peers to drive meaningful change.
Be part of a start-up business and product-led growth at BlinqThis is a hybrid role working from our Melbourne or Sydney locations.
What You Will Own: In this role, you will become the strategic owner and technical leader of our data and analytics platforms.
Designing and maintaining scalable data processing systems and databases.
Building and optimizing data pipelines to support the collection, transformation, and loading (ETL) of data into data warehouses or lakes.
Ensuring data quality and accuracy by implementing robust validation and monitoring processes.
Collaborating closely with Product and Engineering teams to align data systems with business goals and measure success effectively.
Driving cross-functional efforts to address data quality, reporting, and insights, while remediating inconsistencies and gaps.
Documenting data processes, architecture, and workflows to ensure clarity and continuity across teams.
What We Are Looking For: You are a great collaborator who can work to understand the needs of different stakeholders and develop a strategy that considers each of these.
You are a strong communicator and are confident in advocating for data-driven practices and driving internal education around data.
Extensive experience with SQL, data modeling tools like dbt, and programming languages such as Python or R.
Hands-on expertise with a modern event data stack and familiarity with tools such as Segment, Amplitude, Big Query, Looker Studio, Google Analytics, and AWS/GCP.
A strong vision for building a scalable, reliable, and cutting-edge analytics platform, with the ability to develop a roadmap to achieve this.
A solid grounding in mathematics, statistics, and data visualization.
Experience working with data systems that support machine learning workflows is desirable.
Proficiency in A/B testing is highly desirable.
We believe in fostering a healthy work-life balance, board games, and top-notch stand-up desk workstations.
It's all about creativity and collaboration.
Autonomy is our guiding principle, which is why we embrace hybrid work.
Come in when you need to, or work at your optimal hours—whether that's burning the midnight oil or rising with the sun.
We welcome individuals at all experience levels and take pride in being an equal opportunity employer committed to creating an inclusive and diverse workforce.
Join us on this remarkable journey as we reshape the way people connect and network.
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