Staff Data Engineer Jobs

Blinq Technologies

Location:
Australia, Sydney ▼
Melbourne

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

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, and maximise business impact. At this exciting stage of our growth, we want to ensure our data is scalable, reliable, and ready for the future. With a great sense of ownership over our data and analytics platforms, you will be positively affecting team member growth and productivity! You would work closely with Product, Marketing, Sales 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 Blinq!

Job Responsibility:

Building and optimising data pipelines which are scalable to support the collection, transformation, and loading (ETL) of data into databases, warehouses or lakes
Ensuring data quality and accuracy by implementing robust validation and observability processes
Collaborating closely with Product, Marketing, Sales and Engineering teams to align data systems with business goals and measure success effectively
Driving cross-functional efforts to address data integrity, reporting, and insights, while remediating inconsistencies and gaps
Documenting data processes, architecture, and workflows to ensure clarity and continuity across teams

Requirements:

Extensive experience with SQL, data modeling tools like Dataform, and programming languages such as Python or R and data system architecture designs
Hands-on expertise with a modern event data stack and familiarity with tools such as Segment, Amplitude, BigQuery, Looker Studio, Google Analytics, SSGTM, CDP 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 visualisation
Experience in MarTech and working with data systems that support machine learning workflows is desirable
High proficiency in A/B testing and event system design is also highly desirable

Nice to have:

Experience in MarTech and working with data systems that support machine learning workflows
High proficiency in A/B testing and event system design

What we offer:

Equity & ownership
Competitive salary & growth path
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

Additional Information:

Job Posted:
December 06, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Staff Data Engineer