Senior Data Engineer

About The Role

Leading edge opportunity with an innovative data solutions brand. This a hands-on role requiring a combination of technical delivery, solution architecture, analytics engineering, and stakeholder engagement. Work directly with clients to understand business challenges, lead discovery activities, facilitate workshops, define solution approaches and deliver modern data platforms that align technology outcomes with business objectives.

Key Responsibilities

This role provides the opportunity to influence technical direction, mentor engineers, and be a trusted advisor across a variety of industries and data transformation initiatives.

• Data Engineering & Platform Development
• Architecture & Data Modelling
• Cloud 7 Platform Engineering - Design and implement solutions utilising AWS services such as S3, Glue, Lambda, Redshift, Athena, EventBridge, Kinesis, and related technologies.
• Design and implement solutions utilising Azure services such as Azure Data Factory, Microsoft Fabric, Synapse Analytics, Azure Databricks, Azure SQL, and Azure Data Lake Storage.
• Data Governance, Leadership, Solution Design & Client Engagement

SKILLS & EXPERIENCES

• 8+ years of experience in Data Engineering, Analytics Engineering, Data Warehousing, Data Architecture, or related disciplines.
• Significant hands-on experience working with Snowflake and dbt in production environments.
• Proven experience designing and delivering enterprise-scale cloud data solutions.
• Experience leading stakeholder workshops, discovery activities, and requirements gathering sessions.
• Experience delivering end-to-end data platform implementations from design through production support.
• Experience in Snowflake, including architecture, solution design, security, governance, data sharing, workload optimisation, and performance tuning.
• Strong hands-on experience designing and building modern analytics solutions using dbt.
• Extensive experience developing, testing, and maintaining dbt models, transformations, macros, reusable frameworks, and deployment pipelines.
• Demonstrated experience implementing Analytics Engineering best practices within Snowflake environments.
• Experience building analytics-ready data products, curated datasets, semantic models, and reporting layers within Snowflake.
• Strong experience optimising Snowflake schemas, data models, SQL workloads, and query performance.
• Experience implementing CI/CD, automated testing, monitoring, and deployment frameworks for dbt projects.
• Excellent written and verbal communication skills.
• Strong problem-solving skills and a pragmatic delivery mindset.
• Ability to work across multiple clients and projects within a consulting environment.
• Preferred Certifications - Snowflake Certification(s), dbt Certification, Microsoft Azure Data Engineer Associate (DP-203), AWS Certified Data Engineer or AWS Solutions Architect

This role can offer you impactful projects, a supportive work environment, competitive salary, learning opportunities and certifications and be part of a company that is shaping the future of data-driven solutions.

HOW TO APPLY Click the APPLY button and include your resume and cover letter. For further information please email Helen at helen.avery@randstaddigital.co.nz

• Please note, we can only consider applicants that are legally entitled to work in New Zealand at the time of application.

At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

key responsibilities

• Lead the design, implementation, optimisation, and modernisation of Snowflake-based data platforms and analytics engineering solutions.

Experience

5 years

Skills

Snowflake, dbt, AWS and Microsoft Azure, data engineer, data & analytics, ETL/ELT pipelines

Qualifications

• Degree

education

Bachelor Degree&ICT