Senior Data Engineer

Frank Recruitment Group; Sydney; Hybrid; AUD 110,000 - 160,000; Full time

Job summary

Frank Recruitment Group is seeking a Data Engineer in Sydney to enhance our data infrastructure using Azure technologies. This hybrid role involves designing and implementing data solutions to support business strategies and decision-making.

You will work with Azure Data Services, including Azure SQL Database and Azure Data Lake, and collaborate across teams to ensure data accessibility and reliability.

Qualifications

• Strong experience with Azure Data Services, including Azure SQL Database and Azure Data Lake
• Proficient in SQL and data modelling best practices
• Understanding of data integration tools such as Azure Data Factory
• Experience with ETL processes and data warehousing concepts
• Ability to work effectively in a collaborative environment

Responsibilities

• Deliver high-quality data solutions and maintain data infrastructure.
• Support business decision-making through reliable data access and reporting.

Skills

Azure Data Services

SQL

Data Modelling

Azure Data Factory

ETL

Data Warehousing

Collaboration

Tools

Azure Data Factory

Job description

We are seeking a skilled Data Engineer to enhance our data infrastructure and drive insights using Azure technologies. In this hybrid position based in Sydney, you will collaborate with various teams to design and implement data solutions that are critical for business strategies and decision-making. Your contribution will significantly impact data accessibility and reliability within the organization.

• Strong experience with Azure Data Services, including Azure SQL Database and Azure Data Lake
• Proficient in SQL and data modelling best practices
• Understanding of data integration tools such as Azure Data Factory
• Experience with ETL processes and data warehousing concepts
• Ability to work effectively in a collaborative environment

This is a - role focused on delivering high-quality data solutions. Core benefits include None. Apply if you are interested in shaping data practices and making informed decisions through effective use of technology.