Data Engineer

New Zealand, Auckland

ZURU

ZURU is on a quest to reimagine tomorrow, now spanning three core divisions — ZURU Toys, ZURU Edge and ZURU Tech.

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🚀 Join us as a Mid-Senior Data Engineer and lead the charge in building scalable, resilient, and cost-efficient data infrastructure with a global team! 🌍💡
About ZURUZURU is on a mission to disrupt industries, challenge the status quo, and catalyse change through radical innovation and advances in automation. This is in play in different pillars of the company: ZURU Toys are re-imagining what it means to play; ZURU Tech is shaping a better future by leading the next building revolution; and ZURU Edge is pioneering new-generation FMCG brands to better serve modern consumers.
Founded in 2003 by EY Entrepreneur of the Year and World Entrepreneur Hall of Fame brothers Nick and Mat Mowbray, ZURU has quickly grown to a team of over 5,000 direct and indirect members across more than 30 international locations.
One of the largest toy companies in the world, our globally recognised and award-winning brands include Bunch O Balloons, Mini Brands, XSHOT, Rainbocorns, and Smashers. Our global FMCG brands include MONDAY Haircare, Rascals, NOOD, BONKERS, and Gumi Yum Surprise.

Your RoleWe are seeking a skilled and experienced Mid-Senior Data Engineer to lead and shape our data infrastructure, ensuring efficiency, cost optimisation, resilience, and accuracy across all our systems. This role is perfect for someone who is passionate about building scalable and timely data solutions while adhering to best practices, such as AWS Well-Architected Framework. You will lead an international team of engineers, working closely to build APIs, design resilient data pipelines, and optimize our cloud data infrastructure.

Key Responsibilities

  • Leadership: Lead and mentor an international team of data engineers, fostering collaboration, innovation, and continuous improvement.
  • Data Pipeline Management: Design, build, and maintain scalable and resilient data pipelines using AWS and Databricks, ensuring the seamless integration of data from multiple sources.
  • API Development: Develop and manage APIs that facilitate seamless data access and interaction with our data platforms.
  • Cloud Infrastructure: Optimize the AWS infrastructure for efficiency, cost-effectiveness, and resilience while ensuring compliance with AWS Well-Architected patterns.
  • Cost Optimisation: Continuously monitor, optimize, and manage cloud costs, ensuring high efficiency and minimal waste in data storage, processing, and retrieval.
  • Data Quality: Ensure the accuracy and timeliness of data across all pipelines, implementing monitoring solutions to detect and correct anomalies in real time.
  • Resilience & Recovery: Implement robust disaster recovery and high-availability strategies to ensure data reliability and reduce downtime.
  • Collaboration: Work cross-functionally with data scientists, analysts, and business stakeholders to understand data needs, architect and distil complex problems into achievable tasks, and ensure efficient delivery. Manage projects from conception to execution, providing technical leadership and oversight to ensure that deliverables are met on time and aligned with business objectives.
  • Automation: Identify opportunities for automation within the data engineering processes, minimising manual intervention and boosting efficiency.
  • Documentation & Best Practices: Maintain thorough documentation of systems and processes and ensure the team follows well-architected and industry-leading data practices.

Qualifications

  • 3+ years of experience in data engineering, with a focus on cloud technologies and large-scale data systems.
  • Proven expertise in AWS services (e.g., S3, Redshift, Lambda, Glue) and (Optionally) Databricks.
  • Strong proficiency in building, optimising, and maintaining ETL/ELT pipelines.
  • Experience working with APIs for data ingestion and integration.
  • Familiarity with the AWS Well-Architected Framework and best practices for building secure, reliable, and efficient systems.
  • Strong knowledge of SQL and experience with Python distributed data processing.
  • Experience with cost management and performance tuning in AWS.
  • Strong communication and leadership skills, with experience leading and mentoring international teams.
  • Proficiency with programming languages like Python/PySpark
  • A problem-solving mindset and the ability to work in a fast-paced, ever-evolving environment.

Bonus Skills

  • Experience with CI/CD pipelines, containerisation, and infrastructure-as-code (e.g., Terraform/Cloud Formation).
ABOUT ZURU
ZURU is on a quest to reimagine tomorrow. Founded in 2003, ZURU Group has rapidly grown and now spans three core divisions—ZURU Toys, ZURU Edge (consumer goods) and ZURU Tech (construction).
Known for its cutting-edge software and world-leading automation and manufacturing systems, ZURU has over 5,000 team members in over 30 global locations, making it perfectly placed to continue building its reputation as one of the fastest-growing and most disruptive companies in the world. At ZURU, we have cultivated a high-performing culture that encourages excellence. Our team works towards ambitious goals, learning, performing, and improving together, all while having fun. We empower talented individuals to do their best work every day.
At ZURU, you get out what you put in. You are responsible for driving your own career and we provide the platform to achieve it. As ZURU is on such a fast growth trajectory, there are opportunities here that you won’t find anywhere else. Get to know us a little better by checking out @lifeatzuru on Instagram or www.zuru.com.
WHAT WE OFFER 🌱 Culture for Growth🧘 Health & Well Being Benefits (including an onsite 24/7 gym)🌎 Global Opportunities 💡 Surrounded by an A Player Team💰 Competitive Remuneration🐶 Furry Office Friends🍓  Lots of fresh fruit, coffee, pals fridge and more
ZURU – Reimagining tomorrow 🚀
#LI-FH1
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Category: Engineering Jobs

Tags: API Development APIs AWS CI/CD Databricks Data pipelines Data quality ELT Engineering ETL Lambda Pipelines PySpark Python Redshift SQL Terraform

Perks/benefits: Career development Health care Startup environment

Region: Asia/Pacific
Country: New Zealand

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