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Pearson Carter

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Senior Data Engineer

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Summary

Senior Data Engineer / Engineering Lead building governed, production-ready data products on Microsoft Fabric for an enterprise public-sector environment in Wellington. Day to day: designing ETL/ELT ingestion pipelines, implementing Medallion Architecture across OneLake/Lakehouses, and integrating governance with Microsoft Purview.

We are seeking an experiencedSenior Data Engineer / Engineering Leadwith deep expertise in theMicrosoft Fabric ecosystemto deliver governed, production-ready data products for a critical enterprise public sector environment.

You will lead the implementation of end-to-end ingestion and ETL patterns, enforce Medallion Architecture standards (Bronze/Silver/Gold), and ensure seamless integration with Purview data governance frameworks.

Key Responsibilities

  • Pipeline & Data Product Delivery:Design, build, and deploy 1-2 production-grade data products within an existing MS Fabric platform to validate core ingestion and ETL/ELT frameworks.
  • Architecture Implementation:Implement Medallion Architecture patterns across OneLake, Lakehouses, and Data Warehouses to transform raw inputs into structured, business-ready datasets.
  • Data Integration:Build and maintain scalable orchestration pipelines using MS Fabric Dataflows Gen2, Pipelines, PySpark/Notebooks, and integration tools such as Matillion.
  • Governance & Metadata Support:Collaborate with the Data Architect and Metadata Lead to implement lineage tracking, security controls, and metadata capture natively integrated with Microsoft Purview.
  • Environment Validation:Participate in early-phase platform reviews to validate capacity setup, workspace configuration, and technical readiness before scaling out.

Required Experience & Skills

  • MS Fabric Core:Hands-on experience building solutions on Microsoft Fabric (OneLake, Lakehouse, Dataflows Gen2, Fabric Pipelines, DirectLake/Semantic Models).
  • Data Engineering Stack:Strong proficiency in PySpark, T-SQL, Python, and Delta Lake optimizations (partitioning, OPTIMIZE/VACUUM patterns).
  • ETL/ELT Tools:Experience with modern ingestion platforms, metadata-driven pipelines, and cloud connectors (experience with Matillion is a strong bonus).
  • Data Architecture Knowledge:Practical application of Medallion Architecture standards and star-schema dimensional modeling.
  • Governance Awareness:Familiarity with Microsoft Purview for data cataloging, sensitivity labeling, and access control execution.
  • Public Sector / Enterprise background:Experience operating within complex enterprise frameworks, structured change processes, and data privacy environments.

Candidate Deliverables for Submission

Please provide profiles highlighting:

  1. Specific MS Fabric / Azure Lakehouse projects executed.
  2. Experience leading ingestion design (specifically ETL patterns and Medallion implementation).
  3. Availability for an immediate part-time start leading into full-time work.

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