Senior DataOps Engineer: Scale Real-Time Data Pipelines

Easygo; City of Melbourne; On-site; AUD 120,000 - 150,000; Full time

Benefits offered by this job

Access to a Learning and Development Platform with 9,000+ courses

Daily breakfast and unlimited snacks

Weekly team lunches and happy hours

Paid volunteer day

Job summary

A leading entertainment technology firm is looking for a passionate Senior DataOps Engineer in Melbourne. You will drive observability and reliability of data pipelines, collaborate with top engineers, and automate data governance practices. Ideal candidates have 7-8 years of experience, a degree in Computer Science, and skills in Python and AWS. This role offers a supportive culture with mentorship, excellent perks, and opportunities for growth in a vibrant office environment.

Qualifications

• 7-8+ years of experience in DataOps, DevOps, or Data Engineering roles.
• Proficiency in Python or other scripting languages.
• Experience with real-time data streaming tools.

Responsibilities

• Establish observability frameworks for data pipelines.
• Monitor and troubleshoot performance issues.
• Automate data quality validation processes.

Skills

Observability frameworks

Data pipeline monitoring

Data quality validation

Collaboration skills

Automation mindset

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

AWS

Airflow

Kafka

SQL

Job description

A leading entertainment technology firm is looking for a passionate Senior DataOps Engineer in Melbourne. You will drive observability and reliability of data pipelines, collaborate with top engineers, and automate data governance practices. Ideal candidates have 7-8 years of experience, a degree in Computer Science, and skills in Python and AWS. This role offers a supportive culture with mentorship, excellent perks, and opportunities for growth in a vibrant office environment.