Senior Data Engineer

• Work with leading cloud data technologies 
• Hybrid | WFH options
• Initial 3 month contract

About the Organisation

Our client is a leading technology consultancy that helps organisations modernise their technology environments and unlock greater value from their data. Working across a broad range of industries, they deliver cloud-first solutions that enable organisations to innovate, scale and make better business decisions.

With a strong focus on collaboration, continuous improvement and technical excellence, they provide an environment where talented professionals can expand their skills, contribute new ideas and work alongside experienced specialists on complex and rewarding projects.

About the Role

This is an initial 3-month contract opportunity for a Senior Data Engineer, with the potential for extension based on project requirements and performance.

As a Senior Data Engineer, you will design, build and optimise modern data platforms that solve real-world business problems. Working within a highly skilled cloud and engineering practice, you will partner with clients to understand their data challenges and deliver scalable, cloud-native solutions that support analytics, reporting and business intelligence initiatives.

This role offers the opportunity to work across multiple projects, engaging with a diverse range of stakeholders while helping organisations modernise their data ecosystems through best-practice engineering, automation and governance frameworks.

Day-to-Day Responsibilities

• Design and develop scalable data pipelines, integrations and platforms using cloud-native technologies
• Build and optimise data lakes, data warehouses and analytics environments to support enterprise workloads
• Implement DataOps practices including CI/CD, automated testing, version control and deployment automation
• Facilitate workshops and collaborate with clients to gather requirements and translate business needs into practical technical solutions
• Monitor, troubleshoot and enhance platform performance, reliability, security and cost efficiency
• Contribute to solution design, project delivery, technical documentation and continuous improvement initiatives

Skills & Experience

• Proven experience designing and delivering cloud-based data solutions within Azure, AWS or GCP environments
• Strong capability building and supporting data pipelines, integrations and ETL processes using tools such as Azure Data Factory, Databricks, Fabric 
• Deep understanding of modern data architectures, including data lakes, lakehouses, data warehouses and governed data products
• Experience working with structured, semi-structured and unstructured data for analytical and reporting use cases
• Strong knowledge of API integrations, orchestration frameworks, cloud security and data governance practices
• Ability to communicate effectively with both technical and non-technical stakeholders and translate business requirements into technical solutions
• Relevant tertiary qualification in Computer Science, Information Systems or a related discipline
• Cloud certifications across Microsoft, AWS or Google Cloud highly regarded
• Minimum 3+ years’ experience delivering data engineering solutions in cloud environments

Benefits

• Exposure to a wide variety of industries, technologies and business challenges
• Opportunity to work with modern cloud, analytics and data engineering platforms
• Collaborative and supportive team culture focused on knowledge sharing
• Ongoing learning, certification and professional development opportunities
• Variety of project-based consulting work with meaningful client impact

Apply now with your CV and cover letter.
[Please note, we can only consider applicants that are legally entitled to work in New Zealand at the time of application.]

Apply now