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Job Listing Number
Job Listing Number

Senior Data Engineer


This employer is looking for a Senior Data Engineer to lead and collaborate with teams and partners to develop scalable Data Engineering solutions that will enhance the quality of the Data Platform.


This Senior Data Engineer is a new role which will support both the Data + Insights and Technology Teams by ensuring the right data is accessible by the right systems.

  • New organisation with a modern Azure cloud-first infrastructure.
  • Opportunity to improve data about the environment, health, and infrastructure, to inform the continuous improvement of the water sector.
  • Scope to grow with the organisation, identifying and applying new technologies, from machine learning, to automation, to rules-as-code.

Key Accountabilities:

Collaborate with teams to design, develop and maintain data engineering solutions, including ETL, pipelines and storage and APIs.

  • Use creativity and your experience to identify opportunities to improve and optimise data collection and analysis processes, then implement these solutions alongside the technical teams.
  • Contribute to the continuous improvements of data platforms in response to new technologies and organisational needs.
  • Implement data engineering solutions on the Azure cloud platform.
  • Create and maintain design/architecture for solutions.
  • Monitor and maintain Data Platform and APIs.
  • Develop and maintain data cubes, tables, views, and stored procedures on our data platform.
  • Migration of data between systems.
  • Supporting the wider organisation with data extracts and data system integration.
  • Identify opportunities to improve and optimise data collection, analysis processes and to implement solutions improving accuracy and efficiency.
  • Promote best data practice across the organisation and across the water sector.
  • Be a part of teams following Agile ways of working, Innovation and creativity are key drivers in the way they will work – their size requires them to be smart and agile.


  • 5+ years relevant experience in data engineering.
  • Demonstrated experience with Azure platform data services (e.g. Azure Data Factory, Azure SQL, Azure API Manager).
  • Coding languages, particularly SQL, C# (for APIs) and Python (for Data).
  • Knowledge of data modelling techniques and design principles.
  • Knowledge of ETL and system integration techniques and technologies, particularly in Azure.
  • Understanding of cloud data infrastructure.
  • Experience across various technologies, specifically Dynamics 365/Dataverse, ArcGIS, Power BI, Power Automate.
  • Experience developing APIs.
  • Experience modelling data.
  • Experience working with Azure DevOps in an Agile environment.

About You:

  • Strong analytical and problem-solving ability.
  • Ability to work under pressure and manage ambiguity, complexity and changing or unclear requirements.
  • Demonstrated commitment to the principles of Te Tiriti o Waitangi and developing own capabilityin te ao Māori.’
  • Proven communication skills with the ability to lead and work independently when required.
  • Able to collaborate and communication with teams and partners both internally and externally.

LANZ has 70+ vacancies

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Job listing published:
April 2, 2024

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