Senior Data Engineer

Are you a highly skilled Senior Data Engineer looking for your next exciting challenge? We’re an NZ-based agency offering fully remote work, and we’re on the hunt for a talented individual to join our team. You’ll work on large scale projects for our Tier One Big Four consultancy customer, collaborating in blended teams and making a real impact.

This isn’t just any data engineering role; it’s an opportunity to dive deep into cutting-edge technologies and work on diverse client engagements. You’ll take full ownership of data problems, from initial analysis and design through to the successful implementation of solutions. You’ll be instrumental in designing, building, and maintaining robust data pipelines, extracting data from a wide array of sources including:

• Structured and unstructured extracts
• Relational databases
• SaaS products
• Data warehouses e.g. Redshift and Snowflake

You’ll be proficient with tools such as Fivetran, Airbyte, and Databricks for efficient data ingestion and federation. A significant part of your role will involve use of Databricks for ETL, analytics, and AI workloads, with data transformation facilitated by DBT.

• Develop and optimize end-to-end ETL/ELT processes, primarily leveraging Python and SQL.
• Design and implement scalable and performant data models.
• Implement rigorous quality control measures and data validation techniques to ensure data accuracy and integrity.
• Collaborate closely with client teams to understand their data needs and deliver impactful, data-driven solutions.
• Work within the Azure ecosystem, harnessing its powerful cloud capabilities.
• Be at the forefront of AI integration, with a strong desire to leverage AI in your solutions.

We offer a great opportunity to work at the cutting edge of data engineering.

• Close relationship with Databricks. You’ll benefit from direct access to Databricks product teams, giving you insights into upcoming features.
• Fully remote. Enjoy the flexibility of working from anywhere in New Zealand.
• Six-month Contract with high chance of renewal.
• Gain invaluable experience working with a top-tier global consultancy.

• Proven experience as a Senior Data Engineer with a strong background in ETL/ELT.
• Expertise in Python and SQL.
• Hands-on experience with Databricks, Azure, and DBT.
• Familiarity with data integration tools like Fivetran and Airbyte.
• Experience with Redshift and Snowflake is a plus.
• A strong desire to leverage AI in data solutions; experience with AI applications is highly desirable.
• Excellent communication and collaboration skills to thrive in blended team environments.
• Willingness to undergo a pre-employment background check for handling financial data.

If you’re ready to take your data engineering career to the next level in a dynamic, remote-first environment, we want to hear from you!