Senior Data Engineer
Summary
Senior Data Engineer in Wellington building the architecture to scale a global SaaS data platform's data capability as traffic and ingested data grow. Day-to-day centers on large-scale data warehousing (Snowflake, Redshift, or ClickHouse), Python and advanced SQL, AWS data tools, plus Terraform and CI/CD. NZ work rights are required.
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placeMe IT Recruitment – Wellington Central, North Island
Think you're one of the best in Wellington's Data Engineering space? Here's your chance to prove it and work alongside some of the smartest people around!
This is a SaaS Data platform that reaches a global audience with its roots firmly planted in Welly (there's no off-shoring of people to Canada in this company!)
You’ll be tasked with building the architecture to scale the data capability globally as user traffic and ingested data grows significantly. The platform is already live and gaining huge traction across the globe. You’ll be coming on to take it to the next level as it moves to the next release.
You’ll have the real-world battle stories—knowing "what actually breaks" in a production migration, what tradeoffs matter beyond vendor marketing, and how to adapt.
You’ll have the ability to communicate tradeoffs clearly via well-structured, data-informed written narratives to both technical leadership and business stakeholders.
Finally, you’ll have a curiosity about how data pipelines connect to real-world public networks, APIs, and related systems.
Still reading? Here's the stack and experience specs:
- Data Warehousing: Proven experience architecting and migrating large-scale data platforms (Snowflake, Redshift, or ClickHouse - you choose the platform)
- Languages & Querying: Advanced proficiency in Python and complex SQL optimisation.
- Cloud Infrastructure: Deep, hands-on experience with native AWS data integration tools.
- Infrastructure as Code: Proven implementation of Terraform and modern CI/CD pipelines.
- Data Modelling: Expert understanding of high-scale data partitioning, schema design, and query performance tuning.
- Nice to Have: Exposure to machine learning platforms or data science systems.
This is not a "grow into it" role. We need someone who's been there before and knows what they're doing.
Note: To apply for this position, you must currently hold a valid New Zealand work visa, or be a NZ Resident or Citizen. We are unable to consider applicants who do not meet these criteria.
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