Data Engineer

Wellington, New Zealand Engineering (NZ)

Join the dynamic team at Provoke, where we're not just about meeting expectations but exceeding them. We're looking for innovative professionals who are passionate about driving exceptional outcomes for our customers. At Provoke, you'll be empowered to challenge the status quo and encouraged to think differently, leveraging a growth mindset to deliver tangible results. Here, professional growth isn't just a concept-it's a reality, fueled by continuous learning and a supportive, forward-thinking environment. If you're ready to make a significant impact and grow alongside a team of like-minded individuals, Provoke is your destination.

What we do :

We build bespoke software using modern technologies and are on a mission to help our clients flourish with smart solutions to solve their business needs.

The Provoke Experience :

We are committed to building high performing teams and offer tangible rewards to ensure that effort is recognized. We are dedicated to providing an enriching environment and learning opportunities for our employees to grow within and fast track their careers. We are focused on diversity diversity in race, gender, orientation and experience.

Job Overview :

As a Data Engineer, you will be responsible for designing, developing, and managing scalable data pipelines that feed into our data lake using MS Fabric. You will work closely with our Lead Data Engineer, analysts, and other stakeholders to ensure that the data infrastructure supports both current and future needs. Your role will involve integrating various data sources, ensuring data quality, and building a robust, scalable data lake architecture.

Key Responsibilities :

• Design, implement, and manage data lake solutions using MS Fabric.
• Develop and maintain data pipelines to extract, transform, and load (ETL) data from various structured and unstructured sources.
• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of new data sources into the data lake.
• Optimize data storage and retrieval processes to improve performance and scalability.
• Ensure the integrity, security, and availability of the data lake by implementing best practices in data governance and management.
• Perform data profiling, cleansing, and transformation to ensure data quality.
• Monitor and troubleshoot data flows to ensure reliable operation of the data pipelines.
• Stay up to date with the latest trends and technologies in data engineering, particularly in relation to MS Fabric and data lake architectures.

Requirements :

Preferred :

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