Senior Data Engineer — Build Scalable Cloud Pipelines

Serko

Auckland

On-site

NZD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Competitive base salary
KiwiSaver matched 3.5%
Health & Wellbeing: Southern Cross”
Learning & development budget

Job summary

Serko is expanding its data capabilities in Auckland, seeking a Senior Data Engineer to design and scale our modern data platform. You’ll work across ingestion, transformation, orchestration, and data quality to deliver reliable, secure data solutions that empower business teams.

You’ll collaborate with Architects and Engineers to build scalable pipelines, models, and data warehouses using dbt, SQL, Python, and cloud services while upholding governance and security standards.

Qualifications

  • Minimum 5 years in data engineering or related field.
  • Strong SQL and Python experience.
  • Hands-on with Snowflake and cloud data platforms.
  • Experience with dbt and data orchestration.
  • Knowledge of data governance and metadata management.
  • Ability to translate business needs into scalable data solutions.

Responsibilities

  • Design scalable data pipelines for batch and streaming workloads.
  • Collaborate with architects and engineers to shape data solutions.
  • Develop data models and manage data warehouses (Snowflake, BigQuery).
  • Ensure data quality, security, and observability.
  • Write clean code in SQL, Python, and PowerShell.
  • Support data products across the business.
  • Participate in on-call rotation.

Skills

SQL
dbt
Python
PowerShell
Snowflake
BigQuery
Data governance
Metadata management
NoSQL
Communication

Tools

Azure
Google Cloud Platform

Job description

Serko is expanding its data capabilities in Auckland, seeking a Senior Data Engineer to design and scale our modern data platform. You’ll work across ingestion, transformation, orchestration, and data quality to deliver reliable, secure data solutions that empower business teams.

You’ll collaborate with Architects and Engineers to build scalable pipelines, models, and data warehouses using dbt, SQL, Python, and cloud services while upholding governance and security standards.

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