Key Data Engineering Role
We're building a cutting-edge analytics platform to support our business goals. As a key member of the team, you'll play a vital role in shaping this platform and driving meaningful change.
Job Description:
Our ideal candidate will take ownership of our data engineering infrastructure, leading and developing Blinq's data practices to maximize business impact. You'll work closely with Product and Engineering teams, collaborating with technical and non-technical peers to drive results.
Responsibilities:
* Design and maintain scalable data processing systems and databases.
* Build and optimize data pipelines to support data collection, transformation, and loading (ETL) into data warehouses or lakes.
* Ensure data quality and accuracy by implementing robust validation and monitoring processes.
* Collaborate closely with Product and Engineering teams to align data systems with business goals and measure success effectively.
Required Skills:
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, BigQuery, Looker Studio, Google Analytics, and AWS/GCP are highly desirable.
A Strong Visionary
You'll have the opportunity to shape the future of our analytics platform and drive cross-functional efforts to address data quality, reporting, and insights. A strong vision for building a scalable, reliable, and cutting-edge analytics platform is required.
Equal Opportunities Employer
We welcome individuals at all experience levels and take pride in being an equal opportunity employer committed to creating an inclusive and diverse workforce.