Staff Data Engineer — Lead Scalable Analytics & Data Pipelines

Ring Inc; Melbourne; Hybrid; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Equity & ownership

Competitive salary & growth path

Generous paid time off

Free food

Job summary

A forward-thinking tech company in Melbourne seeks a Staff Data Engineer to lead the data engineering infrastructure. This role involves building scalable data pipelines and ensuring data quality. The ideal candidate will have extensive SQL experience, familiarity with tools such as Segment and BigQuery, and a strong vision for developing an advanced analytics platform while collaborating with various departments. Join the team to shape the future of professional relationships with innovative strategies.

Qualifications

• Experience with SQL and data modeling tools like Dataform.
• Expertise in Python or R and data system architecture designs.
• Strong communication skills with a focus on collaboration.

Responsibilities

• Lead and optimize data and analytics platforms.
• Build scalable ETL data pipelines.
• Ensure data quality with robust validation processes.
• Collaborate across departments to align data systems with business goals.

Skills

Strong collaboration

Data-driven practices

SQL expertise

Data modeling tools

Python or R

Data system architecture

Event data stack

A/B testing

Tools

Segment

Amplitude

BigQuery

Looker Studio

Google Analytics

AWS

GCP

Job description

A forward-thinking tech company in Melbourne seeks a Staff Data Engineer to lead the data engineering infrastructure. This role involves building scalable data pipelines and ensuring data quality. The ideal candidate will have extensive SQL experience, familiarity with tools such as Segment and BigQuery, and a strong vision for developing an advanced analytics platform while collaborating with various departments. Join the team to shape the future of professional relationships with innovative strategies.