Senior Analyst, Data Engineer

Lincoln Electric; Kentucky; On-site; USD 110,000 - 170,000; Full time

Job summary

Lincoln Electric is seeking a Senior Analyst-Data Engineer to design, build, and scale enterprise data pipelines that support analytics, reporting, and operational insights across the business.

The role sits in the Analytics team and focuses on Azure-based data processing, including Bronze and Silver layers, with collaboration across BI, data science, and operations teams. The candidate should have 3–5 years of data engineering experience and strong SQL/Spark skills.

Qualifications

• 3-5 years of professional experience as a Microsoft Data Engineer or similar role.
• Hands-on experience with Azure Synapse Analytics (SQL pools and/or Spark).
• Experience building data pipelines with Azure Data Factory or equivalent tooling.
• Practical experience implementing Medallion Architecture, specifically Bronze and Silver layers.
• Strong SQL skills and experience using Spark / PySpark.
• Experience working with Azure Data Lake Storage Gen2.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Synapse Analytics, Azure Data Factory, and/or Microsoft Fabric.
• Ingest data from multiple enterprise sources into the Bronze layer.
• Transform and curate data into the Silver layer with standardization, cleansing, and enrichment.
• Implement data quality checks, validation rules, and monitoring for trusted datasets.
• Develop and optimize SQL and Spark workloads for performance and cost efficiency.
• Collaborate with BI developers, analytics engineers, data scientists, and business stakeholders.
• Follow enterprise standards for data security, governance, and access control.
• Contribute to documentation, architectural patterns, and platform improvements.

Skills

Analytical mindset

Microsoft Data Engineer experience

SQL proficiency

Spark / PySpark

Tools

Azure Synapse Analytics

Azure Data Factory

Microsoft Fabric

Azure Data Lake Storage Gen2

Spark (PySpark)

SQL

Azure DevOps

GitHub Actions

Medallion Architecture (Bronze/Silver)

Job description

We are a $4B global manufacturing enterprise making significant investments in our cloud data and analytics platform. We’re seeking a Senior Analyst-Data Engineer to help design, build, and scale enterprise data pipelines that enable analytics, reporting, and operational insights across the business.

This role sits within our core Analytics team and focuses on working with our Microsoft backbone. You will provision data from multiple enterprise systems into a Medallion Architecture, with hands-on responsibility for Bronze and Silver layers. The work supports both business intelligence and advanced analytics use cases across the company including: manufacturing, supply chain, and operations.

This position offers the chance to build and improve an accelerating deployment.

Duties and Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Synapse Analytics, Azure Data Factory, and/or Microsoft Fabric.
• Ingest data from multiple enterprise sources (ERP, MES, operational databases, APIs, flat files, cloud sources) into the Bronze layer.
• Transform and curate data into the Silver layer, applying standardization, cleansing, and enrichment logic.
• Implement data quality checks, validation rules, and monitoring to ensure trusted, production-ready datasets.
• Develop and optimize SQL and Spark (PySpark / Spark SQL) workloads for performance and cost efficiency.
• Collaborate closely with BI developers, analytics engineers, data scientists, and business stakeholders.
• Follow enterprise standards for data security, governance, and access control.
• Contribute to documentation, architectural patterns, and platform improvement initiatives.

Required Qualifications

• 3-5 years of professional experience as a Microsoft Data Engineer or similar role.
• Hands-on experience with Azure Synapse Analytics (SQL pools and/or Spark).
• Experience building data pipelines with Azure Data Factory or equivalent tooling.
• Practical experience implementing Medallion Architecture, specifically Bronze and Silver layers.
• Strong SQL skills and experience using Spark / PySpark.
• Experience working with Azure Data Lake Storage Gen2.

Preferred Qualifications

• Experience with Microsoft Fabric (Lakehouse, Warehouses, Notebooks, Dataflows Gen2).
• Experience in Data Managemnt or Analysis in an SAP environment
• Manufacturing or industrial domain experience (ERP, MES, supply chain, operations data).
• Exposure to tools such as Azure DevOps or GitHub Actions.
• Experience working in a large, enterprise environment.