[Hiring] Data Engineer @Provoke Solutions

Role Description

We're looking for a hands-on Data Engineer with MS Fabric experience to join our NZ team. This is an opportunity to work on meaningful client engagements, solve interesting technical challenges, and help shape how modern data engineering and AI are applied in real-world environments.

You'll spend your time doing what good engineers enjoy:

• Building, problem-solving, and delivering solutions that work.
• Working across Microsoft Fabric engagements to turn business requirements into reliable, scalable data solutions.
• Developing pipelines and transformations, troubleshooting data issues, optimizing Lakehouse architecture, or working with analysts to deliver meaningful business insights.

You'll work closely with engineers, technical leads, and clients, asking good questions, challenging assumptions, and taking ownership of your delivery. We value clear communication, bringing ideas to the table, and understanding the business problem behind the technical work.

We're also embracing AI-native engineering and want people who are actively exploring how AI and agentic tools can improve development, productivity, and quality.

Qualifications

• Strong, hands-on Microsoft Fabric experience is essential.
• Practical experience with Microsoft Fabric, including Lakehouses, Warehouses, OneLake, Pipelines, and Notebooks.
• Strong SQL and PySpark skills, including data transformation and troubleshooting.
• Experience with medallion architecture (Bronze/Silver/Gold) and Delta Lake.
• Familiarity with Power BI, Fabric Semantic Models, and DirectLake.
• Experience with Git, Azure DevOps or GitHub, and CI/CD practices.
• At least 2 years' relevant engineering experience, with demonstrated delivery capability.
• Experience with dbt, data governance, Microsoft Purview, or relevant Microsoft certifications is a bonus.

Requirements

• Communicates well: Builds trust with clients and explains technical concepts clearly.
• Takes ownership: Follows through, delivers quality work, and doesn't need constant direction.
• Thinks commercially: Understands the business problem, not just the technical task.
• Adapts and solves problems: Thrives on variety, takes initiative, and brings solutions, not just problems.
• Embraces innovation: Actively explores GenAI and modern engineering practices.
• Works well with others: Collaborative, approachable, and comfortable engaging with different stakeholders.

Benefits

• Join a collaborative team working with clients across different industries and markets.
• Tackle diverse technical challenges and help shape the next generation of data and AI solutions.
• Flexibility to work your way, support from experienced colleagues, and opportunities to keep learning and growing.

Company Description

We're a global technology consultancy helping organisations solve complex challenges through modern software solutions, data platforms, AI, and intelligent automation.