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Datacom

Cloud, AI, and digital transformation provider

Senior Consultant - Microsoft Fabric/Databricks

Data EngineeringConfirmed live in the last 24 hours
Full-timeWellington, New ZealandNo salary listed

About the Job

Requirements

  • Excellent consultation and stakeholder management skills.
  • Excellent verbal and written communication skills.
  • Proven track record of designing and building modern data platforms, including Enterprise Data Warehouse migration experience.
  • Advanced practical skills in Snowflake (dataflows, pipelines, Cortex/Coco) or Databricks (workflow, lakehouse flows, Autoloader), with deep experience in tools such as dbt, Azure/Fabric Data Factory, Coalesce, and Fivetran or Matillion.
  • Advanced practical skills using Python.
  • Strong skills in cloud platforms including Azure and AWS.
  • Strong skills in data platform design, implementation, configuration, performance, and cost management, including Fabric and Snowflake.
  • Strong skills in Power BI, Power Query, SQL, and DAX semantic data modelling.
  • Advanced practical skills using DevOps and knowledge of CI/CD pipelines, Git integration, and deployment automation.
  • Bachelor's degree in Computer Science or related discipline.
  • Snowpro and Coalesce certified or Microsoft Azure/Fabric certified data engineer.
  • Minimum 7 years' experience in Enterprise Data Warehouse design and implementation.
  • Minimum 7 years' experience in ETL architecting and design.
  • Minimum 7 years' experience in data modelling (Star schema and Snowflake schema).
  • Minimum 5 years' experience in semantic layer development.
  • Minimum 5 years' experience in Power BI.

Responsibilities

  • Work with client business users to identify consulting opportunities and elicit stakeholder requirements through facilitated workshops.
  • Contribute to the technical architecture, design, and delivery of new modern data and insight platforms using current data-powered decision-enablement practices.
  • Provide clients with thought leadership regarding data management and integration recommendations.
  • Design relational and dimensional data models across different data domains and industries.
  • Design and deploy AI solutions for data migration, data modelling, application modernisation, and data warehouse migrations.
  • Perform performance tuning and optimisation on new or existing data platforms and insight solutions.
  • Manage development life cycles using source code management tools, including AI modernisation techniques and products.
  • Design and develop customised self-service solutions using Power BI, including knowledge of deployment options.
  • Provide detailed technical documentation, end-user training, and knowledge-transfer services to customers and internal teams.

About the Company

Datacom

Cloud, AI, and digital transformation provider

Datacom provides IT services across APAC, focusing on cloud solutions, AI-driven innovations, and digital transformation for government, financial institutions, and large enterprises. Its offerings come through a three-pillar approach: consulting to design solutions, managed IT services to operate and sustain environments, and software solutions to implement and integrate technology, using cloud and AI to automate processes and improve experiences and productivity. The company differentiates itself with a strong regional footprint in APAC and a commitment to long-term partnerships, delivering an integrated model that combines strategy, operations, and software delivery for continuous modernization. Its goal is to help clients adapt to a digitized world, foster ongoing innovation, and thrive through reliable, scalable technology and sustained support.

Company size
5,001-10,000
Company stage
Series B
Total funding
$13.4M
Headquarters
Auckland, New Zealand
Founded
1999

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