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Data/Analytics Engineer

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Trimble Inc.

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Location:
New Zealand , Christchurch

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

Your Title: Data/Analytics Engineer\nJob Location: Christchurch (NZ)\nOur Department: Field Systems\nData/Analytics Engineer - Customer 360 Data Pipelines\nAbout the Team: The Field Systems Data Team at Trimble is actively building and maturing our data strategy. We are seeking a dedicated Data Engineer to join our Business Intelligence team and actively shape our data backend and infrastructure in a dynamic environment, proactively breaking down data silos.\nThe Role: As a Data/Analytics Engineer, you will take on central tasks in our critical data projects and in the technical communication with the data platform team. Your efforts will be crucial for building a comprehensive 360-degree customer view, managing the growing demand for insights, and enhancing the overall quality and effectiveness of our data analysis.

Job Responsibility:

  • Lead or actively participate in the migration of data storage and ETL processes to Snowflake, integrating downstream with BI tools (including Domo)
  • Design and implement scalable data schemas, audit existing data flows, and ensure the integrity of core finance, marketing, product usage, and licensing datasets for analytics and reporting
  • Establish necessary platform structures and contribute to knowledge transfer for new data platform components and logic, enabling effective consumption in BI tools
  • Spearhead data quality and completeness initiatives by designing advanced record linkage and enrichment pipelines using Python and the Splink library
  • Ensure comprehensive documentation and proper handover of new data enrichment ecosystems and processes
  • Maintain and optimize SQL-based data extracts crucial for key business dashboards and reporting
  • Implement and deploy complex classification algorithms (currently prototyped in Python) within the production data environment (Snowflake)
  • Establish automated, incremental processes for algorithm execution and integration into the existing ETL/dashboard structure
  • Support the integration and deployment of new data visualization and tooling solutions
  • Collaborate with business teams (e.g., Sales Operations) to support the integration of critical third-party systems and data sources
  • Implement and maintain data quality feature sets, including manual data cleanup, to ensure the reliability of data used for achieving production and business targets

Requirements:

  • Bachelor’s or Master's degree in Data Science, Computer Science, Information Systems, or a related field
  • Proven experience as a Data/Analytics Engineer, ideally in a growing or evolving data environment
  • Expert knowledge in Snowflake is required
  • Very good Python programming skills are a must
  • Experience with ETL processes and migrating from Domo (or similar BI platforms) to modern data warehouses
  • Strong interest and focus on data backend and infrastructure topics
  • Ability to work in a fast-paced environment and solve problems hands-on
  • Strong problem-solving skills and attention to detail
  • Knowledge of data governance and data quality best practices
  • Excellent communication skills, stakeholder engagement, and ability to work independently or as part of a team
  • Only applicants already legally entitled to work in the relevant location you would be based in will be considered

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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