Senior Data Engineer - AWS/Databricks, Remote Flex

Bridgit; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Birthday leave and Kudos leave

Two weeks remote per year

Learning & development budget

Generous parental leave

Gym membership discount

Catered team lunches and events

Dog-friendly Sydney HQ

Job summary

Bridgit in Sydney seeks a Senior Data Engineer to design, build and maintain scalable data pipelines using Python, SQL, AWS and Databricks. You’ll shape the data architecture, implement Medallion patterns and ensure data quality across the enterprise.

You’ll work closely with data scientists, analysts and stakeholders, drive best practices, CI/CD in Git, and help deliver reliable analytics and reporting solutions in a fast-growing fintech environment.

Qualifications

• 5+ years of experience in data engineering with batch and streaming workloads.
• Proficient in Python with NumPy and Pandas.
• Strong SQL skills for production-grade transformations and analytics.
• AWS + Databricks experience, Delta Lake/Lakehouse environments.
• Knowledge of Medallion architecture and data modeling.

Responsibilities

• Design, develop, and optimize data pipelines for batch and streaming workloads.
• Implement data models, transformations, and ingestion frameworks (Bronze–Silver–Gold).
• Manage and maintain ETL/ELT processes (Azure Data Factory, Fabric Pipelines or equivalent).
• Develop high-performance SQL queries and analytical models for reporting.
• Ensure data quality, reliability, and lineage through testing and monitoring.
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into scalable solutions.
• Manage version control, branching, and CI/CD processes using Git.
• Drive engineering best practices, including modular code design and automation.

Skills

5+ years data engineering

Python (NumPy and Pandas)

SQL proficiency

AWS + Databricks

Medallion architecture

ETL/ELT orchestration

Git & CI/CD

Communication & collaboration

Tools

Azure Data Factory

Fabric Pipelines

Delta Lake

Job description

Bridgit in Sydney seeks a Senior Data Engineer to design, build and maintain scalable data pipelines using Python, SQL, AWS and Databricks. You’ll shape the data architecture, implement Medallion patterns and ensure data quality across the enterprise.

You’ll work closely with data scientists, analysts and stakeholders, drive best practices, CI/CD in Git, and help deliver reliable analytics and reporting solutions in a fast-growing fintech environment.