Lead Cloud Data Engineer – Azure/Databricks | Hybrid Canberra

Softtest Pays Pty; Canberra; Hybride; AUD 150 000 - 190 000; Plein temps

Avantages offerts par ce poste

Hybrid work arrangement

Résumé du poste

INGRITY seeks an experienced Lead Data Engineer to design, build and optimise data ingestion, transformation and visualisation solutions across Azure and Databricks. You will prepare data to support decision‑making across a federal government department, with a strong focus on security and scalable patterns.

The role involves leading data engineering activities, collaborating with cross‑functional teams, and contributing to the Open Data Cube codebase.

Qualifications

• Five years’ data engineering experience with relevant training.
• ETL/ELT delivery in cloud environments, scalable patterns.
• Ability to prepare analytics-ready data in cloud engines.

Responsabilités

• Design, build, test and optimise data ingestion and transformation pipelines.
• Develop reusable ingestion patterns and frameworks.
• Prepare data for analytics, visualisation and AI use cases.
• Provide quality reviews and feedback to data engineers.
• Collaborate with project teams to deliver aligned outcomes.
• Participate in agile ceremonies and team events.

Connaissances

Data engineering

ETL/ELT

Performance optimization

Automated ingestion

Parquet/Delta formats

Power BI

Communication

Formation

Data engineering qualifications

Outils

Azure Databricks

Azure Data Factory

Azure SQL

Spark

Python

Description du poste

INGRITY seeks an experienced Lead Data Engineer to design, build and optimise data ingestion, transformation and visualisation solutions across Azure and Databricks. You will prepare data to support decision‑making across a federal government department, with a strong focus on security and scalable patterns.

The role involves leading data engineering activities, collaborating with cross‑functional teams, and contributing to the Open Data Cube codebase.