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Senior Data Engineer

Last update 2024-03-04
Expires 2024-03-04
ID #2028794484
157,843 NZ$
Senior Data Engineer
New Zealand, Wellington, Wellington,
Modified February 13, 2024

Description

Type: Permanent Hours: Full time Location: Wellington Business Group: Te Waka Aukaha/Planning Design and Assurance Branch: Kāwai ki te Iwi / Service Delivery and Operations Salary: $117,742 - $157,843 We're looking for a driven and experienced Senior Data Engineer to join our Business Intelligence & Insights team to enable advanced analytics solutions across Kāwai ki te Iwi / Service Delivery and Operations branch.

Mō te tīma | About our Team The Business Intelligence and Insights team manages the data pipeline from data development to analysis and insights to support Kāwai ki te Iwi branch.

It is the branch's analytics centre of excellence and contributes to a data-driven culture that adds value to Kāwai ki te Iwi's services and operations.

He angitūtanga | About the Role Reporting to Manager Business Intelligence & Insights, this exciting role will be responsible for developing and promoting best data engineering practices, establishing data models, architecture and data pipelines.

The objective is to enable and scale advanced data solutions to support decision-making, promote a data-driven culture and make a difference to the essential services we provide for Aotearoa.

This is an ideal opportunity for a Senior Data Engineer / Data Warehouse Developer who is a trusted expert, capable of working with a range of stakeholders, and excited about improving data engineering practice: * Design, develope and deploy structured and unstructured data pipelines from a range of sources into Azure Data Lake or data marts.

* Develop and implementing data models * Support and maintain analytics tech ecosystem (ETL and BI tools) * Document data pipelines and data lineage, establish data quality and data governance framework.

* Continuously identify areas of improvement and ensure application of standards and best practice * Work closely with other analysts, data engineers, data architects, business stakeholders to build datasets that are fit-for-purpose, well-aligned and understood.

* Ensure an enterprise approach is undertaken, with a focus on best practices, methodology, automation, consistency and quality data from source.

* Support the integration of the BI environment with 3rd party tools to provide advanced analytics services (e.g.

predictive, prescriptive, machine learning) and team planning activities.

* Provide mentorship and guidance to other members in the team and drive Business Intelligence & Insights data engineering practice.

Mōu | About you We are looking for someone who has a passion for data analytics, has great communication and people skills, is customer-focused, and willing to work in a collaborative and fast-moving environment: * Extensive experience (5-10 years) in data engineering or similar data role.

* Tertiary qualification in Information Technology, Information Systems or other related field.

* Data analytics techniques and an in-depth understanding of data warehousing concepts (including dimensional modelling).

* Working with a wide range of data sources including XML and JSON, plus the ability to extract data from API's.

Python skills would be desirable.

* Strong understanding of Azure services, specifically Data Factory, SQL Server DB, Azure Dev Ops and Synapse.

* Experience with SAS EG and SAS Viya and creating data architecture would be highly desirable.

* Very strong customer focus & ability to engage with stakeholders to understand and collect their requirement.

* Proven ability to lead complex projects and working as part of a wider team to deliver successful outcomes.

* Proven experience mentoring others and influencing high-level decision makers * Understanding of or experience working in an agile environment (desirable) Applications close: 5 PM, Thursday, 22 February 2024 For more information please contact: Larissa Allan, ****** Job description: To review the full job descri'ption, please click here.

If you are unable to follow the link, please review the full job description on our careers website.

Job details:

Job type: Full time
Contract type: Permanent
Salary type: Per annum
Occupation: Senior data engineer

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