Senior Data Engineer — Hybrid, Enterprise Data Platforms

Hitech Asia Pacific; Queensland; Hybrid; AUD 96,000 - 165,000; Part time

Benefits offered by this job

Hybrid working arrangements

Job summary

Hitech Asia Pacific is seeking Senior Data Engineers to contribute to enterprise data platforms and analytics initiatives. You will provide technical leadership across data programs and work with stakeholders to deliver scalable data solutions, under a 12-month contract with potential extension and an hourly rate.

The role focuses on design, development and maintenance of ETL processes, data integration, and analytical datasets across complex environments, with hybrid working arrangements across

Qualifications

• Experience leading data integration teams and enterprise data platforms.
• Proven ability to design, develop and maintain large-scale data solutions.
• Strong SQL development with optimisation and code reviews.
• Experience with analytics datasets and data warehouse concepts.
• Familiarity with DevOps practices and version control.

Responsibilities

• Provide technical leadership to data delivery teams through design reviews and guidance.
• Design, develop and maintain enterprise data integration solutions and datasets.
• Lead implementation of new data assets from analysis to deployment and support.
• Develop and optimise SQL-based solutions and perform code reviews.
• Collaborate with stakeholders to translate requirements into scalable data solutions.

Skills

SQL development

Advanced SQL

Python

Data modelling

DevOps

Tools

MS SQL

Snowflake

Redshift

Databricks

Teradata

Python

SAS

R

Java

Job description

Hitech Asia Pacific is seeking Senior Data Engineers to contribute to enterprise data platforms and analytics initiatives. You will provide technical leadership across data programs and work with stakeholders to deliver scalable data solutions, under a 12-month contract with potential extension and an hourly rate.

The role focuses on design, development and maintenance of ETL processes, data integration, and analytical datasets across complex environments, with hybrid working arrangements across