Data Engineer: Remote-Ready ELT Pipelines & Quality

Capital.com; City of Melbourne; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Generous paid leave policy

Flexible working mode

Private medical insurance

In-office massages

Job summary

Capital.com is looking for an experienced analytics engineer based in Melbourne, Australia. In this role, you will implement reporting enhancements, automate data processes, and collaborate closely with business stakeholders. Ideal candidates have over 4 years of experience, advanced skills in PostgreSQL, and familiarity with Apache Airflow.

Our company offers a competitive compensation package, a generous paid leave policy, and flexible working conditions allowing remote work from almost anywhere for up to 30 days a year.

Qualifications

• 4+ years in analytics engineering or similar data-focused roles.
• Hands-on experience with Apache Airflow: DAG authoring and scheduling.
• Experience designing and evolving data warehouse architecture.

Responsibilities

• Implement enhancements to existing reporting processes.
• Automate data delivery processes.
• Collaborate with stakeholders to gather reporting requirements.

Skills

PostgreSQL: stored procedures and functions

Apache Airflow

Git (GitLab or GitHub)

Data warehouse architecture

Financial and trading concepts

Tools

JIRA

Python

Job description

Capital.com is looking for an experienced analytics engineer based in Melbourne, Australia. In this role, you will implement reporting enhancements, automate data processes, and collaborate closely with business stakeholders. Ideal candidates have over 4 years of experience, advanced skills in PostgreSQL, and familiarity with Apache Airflow.

Our company offers a competitive compensation package, a generous paid leave policy, and flexible working conditions allowing remote work from almost anywhere for up to 30 days a year.