Senior Data Engineer
Hybrid
Full Time
#Engineering
#SQL
#DBT
#Python
#Segment
#Amplitude
#Looker Studio
#BigQuery
#Google Analytics
#AWS GCP
At Blinq, we are currently in an exciting phase of product-led growth, and we are looking for a talented individual to help us scale our data practices. As a startup, we value the impact our team members have on our overall success, and we want to ensure our data infrastructure is both robust and highly effective. You will have the chance to shape our analytics strategy from the ground up, working alongside our product and engineering teams to turn raw information into meaningful business insights that drive our future.
About the Role
We are hiring a Senior Data Engineer for a full-time position. In this role, you will take full ownership of our data analytics infrastructure. You will be responsible for building scalable systems that keep our data clean and organized, ultimately empowering our team to make informed, data-driven decisions that improve productivity and business outcomes.
Key Responsibilities
- Design, build, and maintain efficient data pipelines and processing systems to ensure reliable data collection, transformation, and loading.
- Act as the primary owner of our analytics platforms and dashboards, ensuring that our data remains accurate, consistent, and accessible to stakeholders.
- Collaborate closely with product and engineering teams to define success metrics, drive data quality initiatives, and translate complex technical information into simple, actionable insights.
Requirements
To be successful in this role, you should have a strong technical foundation and a collaborative mindset. We are looking for the following qualifications:
- Advanced proficiency in SQL for data wrangling and experience using dbt for data modeling.
- Strong programming skills in Python.
- Experience working with a modern event data stack, specifically Segment, Amplitude, Looker Studio, BigQuery, and Google Analytics.
- Familiarity with cloud platforms like AWS or GCP is highly desirable.
- A solid background in mathematics and statistics, combined with the ability to clearly communicate complex data concepts to both technical and non-technical peers.
- Previous experience with A/B testing, machine learning data systems, or database modernization projects is considered a plus.
Location
This position is based in Australia.
Compensation and Benefits
We are committed to supporting a healthy work-life balance for our team. This role offers the flexibility of hybrid work, allowing you to blend time in the office with remote work as we continue to build our data-driven culture at Blinq.
