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Azure Data Consultant (Managed Service)Hybrid

LocationMelbourne VIC, Australia
Work TypeFull time
Positions1 Position
Published At:6 days ago
Job no: MJNHM

Arinco is a leading Australian and New Zealand technology consulting business specialising in digital transformation for enterprise and SMB's. We live and breath the Microsoft ecosystem and we proudly deliver market leading solutions to our to customers in partnership with them. Last year we were announced as their 2024 Australian Partner of the Year and hold twelve specialisations.

The team and what we're looking for

Our Co-Ops team is a cloud-managed services capability that provides operational support and enhancement services to our customers. We support Azure cloud customers, and we pride ourselves on being technical experts and solving problems at scale. We emphasise the importance of proactivity, innovation, automation and high quality when delivering outcomes for our customers. Providing managed services support to our customers is our key competency, in addition to identifying and developing new Azure data solutions for these customers.

We are seeking an experienced Azure Data Consultant highly skilled in building, maintaining and troubleshooting data solutions on Azure Data Factory (ADF) and/or Databricks. The ideal Crewie will be experienced with writing SQL queries and performing data analysis. Someone hands-on with the above technologies is essential.

You will need to be comfortable providing after-hours / on-call support (for high-priority incidents only) on a rotating roster for which extra remuneration will be provided. Also, please note that we offer a flexible work environment with the opportunity to split work between home and our office. As a customer lead business, you will also need to be present on customer site when required. 

More information on our Co-Ops team can be found here.

Our ideal person will have

Essential:

  • Proven hands-on expertise in Azure Data Factory (ADF), Databricks
  • Proven hands-on experience with SQL, PySpark, Python - able to create new queries and perform data analysis.
  • Experience in a consulting role
  • Experience in a data capability role, acting as a trusted advisor to technical stakeholders
  • Experience in supporting, developing, and delivering data models
  • Exceptional problem-solving skills, with a proactive and strategic mindset.

Nice to have:

  • Hands-on experience with metadata-driven or config-driven frameworks
  • Knowledge of DevOps practices, release pipelines, branching strategies, and Git.

Key responsibilities

  • Troubleshoot data pipelines and data issues
  • Develop and maintain robust data pipelines in ADF, Databricks, Microsoft Fabric and Synapse Analytics.
  • Perform data processing using PySpark, Python, SparkSQL, and T-SQL.
  • Onboard new sources/datasets to already existing frameworks in ADF, Databricks and Synapse Analytics.
  • Collaborate with different teams and stakeholders to understand data requirements and deliver innovative solutions.
  • Ensure data governance, security, and best practices are followed in all implementations
  • Develop and maintain CI/CD pipelines for efficient deployment and integration within Azure environments

The Arinco experience:  

  • Bring your authentic self - An inclusive and collaborative Crew where your voice is heard and ideas are recognised 
  • Team connection – Regular squad outings, social interest groups, charity drives and team events 
  • A focus on learning and development – Learning and development budget, weekly lunch and learns, incentives for blogs and external public speaking, hackathons and soft skills training 
  • Tech done your way - We provide a $2,500 annual allowance for you to spend on the hardware or home office equipment of your choice 

Additional information:  

  • We are an equal opportunity employer and we welcome all applications. Particularly those from underrepresented groups 
  • At this stage, we are only able to consider candidates with unrestricted local working rights 
  • We don’t require the assistance of recruitment agencies  


  • Published on 30 Oct 2025, 4:55 AM