Senior Data Engineer

JobsTrackR

City of Melbourne

Hybrid

AUD 180,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Hybrid working environment
Superannuation

Job summary

JobsTrackR is seeking an experienced Senior Data Engineer in Melbourne to join our technology team. The role focuses on building and maintaining scalable data platforms and pipelines in a large-scale financial services context.

You will collaborate with data analysts, engineers, architects and business stakeholders to translate requirements into robust data solutions, enabling analytics, reporting and insights.

Qualifications

  • 5 years' experience in data engineering or closely related field.
  • Strong programming skills in Python and SQL with production-grade ETL/ELT experience.
  • Experience building scalable, cloud-based data platforms and pipelines.
  • Knowledge of data modelling and data warehousing concepts.
  • Experience with cloud data platforms (Azure, AWS or GCP).
  • Exposure to Databricks, Snowflake, Spark or Airflow.
  • Experience integrating data from multiple sources and CI/CD practices.

Responsibilities

  • Designing and developing scalable data pipelines and ETL/ELT processes.
  • Building and maintaining cloud-based data platforms.
  • Developing high-quality data models and transformation processes.
  • Integrating data from multiple internal and external sources.
  • Improving data quality, reliability and performance.
  • Translating business requirements into technical solutions for stakeholders.
  • Contributing to data architecture and engineering standards.
  • Supporting CI/CD and automated deployment practices.
  • Monitoring and troubleshooting data pipelines and production environments.
  • Driving modernisation of existing data platforms and processes.

Skills

Python
SQL
Data modelling
CI/CD practices
Stakeholder communication
Data warehousing

Tools

Azure
AWS
GCP
Databricks
Snowflake
Spark
Airflow

Job description

Senior Data Engineer

Melbourne Hybrid 180,000 – 200,000 Super

A leading Australian financial institution is expanding its data engineering capability and is looking for an experienced Senior Data Engineer to join its Melbourne-based technology team.

You’ll work on high-impact data initiatives across a large-scale financial environment, building reliable data platforms and pipelines that support analytics, reporting, customer insights and business-critical decision making.

The Role

You’ll be responsible for designing, developing and maintaining scalable data solutions while working closely with data analysts, engineers, architects and business stakeholders.

Key responsibilities include:

  • Designing and developing scalable data pipelines and ETL/ELT processes
  • Building and maintaining cloud-based data platforms
  • Developing high-quality data models and transformation processes
  • Integrating data from multiple internal and external sources
  • Improving data quality, reliability and performance
  • Working with stakeholders to translate business requirements into technical solutions
  • Contributing to data architecture and engineering standards
  • Supporting CI/CD and automated deployment practices
  • Monitoring and troubleshooting data pipelines and production environments
  • Helping drive modernisation of existing data platforms and processes
About You

You’ll ideally bring:

  • 5 years' experience in data engineering
  • Strong experience with Python and SQL
  • Experience building production-grade ETL/ELT pipelines
  • Strong understanding of data modelling and data warehousing
  • Experience with cloud data platforms such as Azure, AWS or GCP
  • Exposure to technologies such as Databricks, Snowflake, Spark or Airflow
  • Experience working with APIs and integrating disparate data sources
  • Understanding of CI/CD and modern engineering practices
  • Strong communication skills and the ability to work with both technical and non-technical stakeholders

Experience within banking, financial services or another highly regulated environment would be advantageous.

What’s On Offer
  • 180,000 – 200,000 super
  • Melbourne CBD
  • Hybrid working environment
  • Work on large-scale financial data platforms
  • Strong investment in modern data and cloud technologies
  • Opportunity to contribute to major data transformation initiatives
  • Collaborative engineering culture

If you're an experienced Data Engineer looking for a role where you can work on genuinely large-scale data challenges within financial services, we'd be keen to hear from you.

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