Senior Data Engineer

Serko Ltd.

. Collaborate with Architects and Principal Engineers to design scalable and resilient data solutions as part of a team of five .

Posted 10/27/2026full-timeAuckland • New ZealandSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing scalable data solutions and optimizing data pipelines using tools like dbt, SQL, and cloud platforms such as Snowflake and Google Cloud. Strong collaboration and communication skills are essential for translating business needs into effective data products.

Highest-signal resume keywords

Data EngineeringSnowflakeSQLDbtData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline OptimizationData ModelingSQLPythonPowerShellData WarehousingData LakesAgile DevelopmentNoSQLData Vault 2.0

Soft Skills

CollaborationCommunicationSolution-Focused MindsetGrowth MindsetOpenness to Feedback

Tools & Technologies

AzureGoogle CloudSnowflakeBigQueryDbt

Industry Keywords

Data GovernanceMetadata ManagementDevOps CultureOLTPOLAP

Tech Stack

Tools & technologies

AzureBigQueryCloudMongoDBNoSQLPythonSnowflakeSQLVault

About the role

Key responsibilities & impact

Collaborate with Architects and Principal Engineers to design scalable and resilient data solutions as part of a team of five
Build, maintain, and optimise data pipelines across batch and streaming workloads
Coordinate with Platform, Architecture, and Security teams to ensure data platform solutions are designed for performance, security, durability, and scalability
Develop robust data models using dbt and orchestrate workflows via Azure and Google Cloud
Manage and enhance cloud data warehouses on Snowflake and BigQuery
Ensure best practice in data governance, cataloguing, observability, and security
Write clean and efficient code in dbt, SQL, Python, and PowerShell
Improve existing complex SQL, PowerShell, and Python used in SQL-based and non-SQL-based OLTP and OLAP systems
Work closely with cross-functional teams to deliver impactful data products
Participate in a light rotating on-call schedule of approximately one week per month

Requirements

What you’ll need

Strong background in data engineering
Deep understanding of data warehouses, data lakes, and modern data engineering
Experience working in an agile development environment
Familiarity with DevOps culture
Hands-on expertise with Snowflake or an equivalent modern cloud data warehouse
Advanced SQL skills and experience using dbt
Familiarity with data governance and metadata management
Experience with Data Vault 2.0 or NoSQL technologies such as MongoDB or Cosmos DB is a plus
Comfortable working across teams and translating business needs into scalable data solutions
Strong communication and collaboration skills
Solution-focused mindset
Growth mindset and openness to feedback

Benefits

Comp & perks

A competitive base salary
KiwiSaver covered with employee contributions match up to 3.5% of salary, and life insurance
Discounted Southern Cross Health Insurance
Confidential support, guidance and counselling services
Wellbeing and voluntary leave
Free flu shots
Access to a learning & development platform
Committed budget for development
Opportunity to own your career pathways