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Data Engineer

Roles & Responsibilities

  • 2–5 years in data engineering or adjacent software/data roles with hands-on delivery in cloud data platforms.
  • Strong SQL and performance tuning on Synapse/SQL Server (or equivalent).
  • Practical experience with Azure Data Factory / Synapse pipelines, Databricks (PySpark), and Azure Data Lake.
  • Familiarity with dimensional/semantic modeling for Power Query or Power BI.

Requirements:

  • Build and operate pipelines using Azure Data Factory (or Synapse Data Pipelines) to ingest and transform data into our Azure Data Lake and Synapse/SQL layers.
  • Develop SQL views/tables and reusable transformation logic to support analytics and reporting (including Power BI semantic models).
  • Own reliability for assigned data domains: monitor jobs, triage incidents, perform root-cause analysis, and execute break/fix and performance tuning.
  • Ensure data quality via validation checks, schema enforcement, and automated tests; document lineage and business rules.

Job description

It's fun to work in a company where people truly believe in what they are doing!

We’re hiring a Data Engineer to design, build, and support reliable ELT/ETL pipelines on Microsoft Azure. You’ll partner with data architects, BI developers, and business stakeholders to land ERP and operational data into our lake/warehouse, model it for analytics, and keep it flowing. This role emphasizes implementation, optimization, and break/fix support over enterprise architecture ownership.

Key Responsibilities

  • Build & operate pipelines using Azure Data Factory (or Synapse Data Pipelines) to ingest and transform data into our Azure Data Lake and Synapse/SQL layers.

  • Develop SQL views/tables and reusable transformation logic to support analytics and reporting (including Power BI semantic models).

  • Own reliability for assigned data domains: monitor jobs, triage incidents, perform root‑cause analysis, and execute break/fix and performance tuning.

  • Ensure data quality via validation checks, schema enforcement, and automated tests; document lineage and business rules.

  • Collaborate with BI developers and business partners to translate requirements into well-documented data sets optimized for consumption.

  • Harden and improve CI/CD (Azure DevOps), environments, and runbooks for repeatable, compliant delivery.

  • Contribute to standards (naming, partitioning, coding patterns) and knowledge base articles/playbooks for on-call support.

Minimum Qualifications

  • 2–5 years in data engineering or adjacent software/data roles with hands-on delivery in cloud data platforms.

  • Strong SQL and performance tuning on Synapse/SQL Server (or equivalent).

  • Practical experience with Azure Data Factory / Synapse pipelines, Databricks (PySpark), and Azure Data Lake.

  • Familiarity with dimensional/semantic modeling for Power Query or Power BI.

Preferred Qualifications

  • Exposure to Microsoft Fabric concepts, Purview governance, or metadata/lineage tooling.

  • Experience integrating data from ERP platforms (e.g., SAP, Sage/SL, Business One) and SaaS sources.

  • Data testing frameworks, orchestration patterns, and cost/performance optimization on Azure.


Please press Apply to submit your application.

Come Be Part Of A Mission that Matters!

From inside the farm gate to our dinner plates, Neogen protects the world’s food supply. Through a variety of animal healthcare products, to food safety solutions for dangerous bacteria, allergens, toxins, drug residues and much more, Neogen is there — and you can be too.

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