Work on data platforms as an Azure software engineer

Data-Driven advertised this Azure Software Engineer role in January 2023. The vacancy is now retained as a record and should not be read as an active job listing.

The responsibilities, work arrangements, salary, and benefits below reflect the original advertisement. They have not been validated as current employment terms.

What the role covered

The role combined software engineering, data engineering, Azure architecture, and customer-facing consulting.

Work included:

• object-oriented software design
• Azure Data Factory, Synapse, Python, ETL, and data pipelines
• Azure platform and serverless architecture
• SQL and data modeling
• translating customer requirements into technical work

The original advertisement described it as a mid-level role and asked for commercial experience in at least two relevant areas.

Experience the listing valued

Additional experience included:

• Databricks, Spark, or Synapse
• business intelligence and data warehousing
• consulting delivery
• software engineering practices
• clear communication with customers

The listing emphasised learning, ownership, practical problem-solving, and an interest in data or cloud technology.

Work arrangements recorded in 2023

The role was advertised for people based in Australia, with remote work and occasional customer meetings.

The listed salary range was AUD $110,000 to $130,000 a year, depending on experience and skills. This figure is historical and does not indicate current compensation.

Benefits in the original advertisement

The 2023 page listed:

• an additional leave day for each year of service
• five paid days for certification, training, or events
• annual company profit sharing
• a digital training library
• mentoring and a personalized career plan
• flexibility to shape the role as the company grew
• optional access to a Sydney CBD office

These terms may have changed. Current candidates should rely only on a current vacancy and written employment information supplied during that process.

Why the page remains online

The archive documents the type of engineering and consulting capability Data-Driven was building at that stage of the company.

It does not accept applications, promise a response, or confirm that an equivalent position exists today.