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Urgent! Senior Azure Data & AI Consultant Job Opening In Wellington – Now Hiring DataSing NZ

Senior Azure Data & AI Consultant



Job description

Overview

DataSing is an organisation with a straightforward mission: enabling data-driven business outcomes for our clients.

We aim to help our clients transform their businesses and operations by leveraging the improved use of data, information, and AI.

At DataSing, we're not just about crunching numbers; we're about partnering with our clients on the ‘last mile’, bringing actual value and tangible outcomes from raw, disparate data.

As a Principal Consultant, you will support in leading the delivery of Azure Data & AI solutions.

You will set solution direction, mentor other consultants, and work with NZ-based leaders to ensure quality outcomes for enterprise and public-sector engagements.

If you are looking for: consultancy role working with the latest technologies and cutting-edge solutions; varied and interesting work that makes a meaningful difference to our prestige clients; a place where creativity and innovation are rewarded within a talented and supportive team; a fun learning environment with a dedicated budget for technical training; flexible working policies and a good work life balance — then this opportunity at DataSing could be for you!

About you: You will have proven experience (5+ years preferred) across the Azure data stack and have ambitions to work as a senior consultant.

Bonus for Snowflake experience.

You will have strong knowledge and demonstrable experience in modern data platform engineering tools and techniques.

Experience in AI development or a desire to learn.

Referrals increase your chances of interviewing at DataSing NZ by 2x

Must have skills and experience

  • Expert knowledge of SQL in a data warehouse context, applying the Kimball methodology and other design patterns.

  • Comfortable building and optimising data pipelines and data flows using Azure Data Factory, including auditing and error handling.

  • Comprehensive Data Engineering Skills: Expertise in data modelling, data processing (ETL/ELT), data integration, unstructured data, security, and governance using Azure services.

  • Working knowledge of Power-BI and data visualisation best practices.

  • Familiar with standard development lifecycle using source control tools such as GitHub or Azure Repos with multiple branching strategies.

  • Sound analytical and design skills: ability to turn end user requirements into technical solution designs.

  • Excellent interpersonal skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

  • Ability to handle diverse situations, multiple initiatives, and both agile and waterfall methodologies.

  • Team player: you will be tasked to design and deliver solutions to clients in cross-functional teams.

  • Solution orientated, with a positive, can-do attitude and an ability to work under pressure.

Bonus skills and experience

  • Web application development using a JS framework such as React
  • Snowflake
  • Proficient with Power Query M formula language and/or DAX
  • Familiarity with Python and/or R

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Industries

  • Data Infrastructure and Analytics

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Required Skill Profession

It, Technology & Sap



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