Data Engineer at Peter Millar

Research Triangle Park, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Azure, Microsoft Fabric, ETL, ELT, Data Modeling, Power BI, Data Validation, Data Cleansing, Git, DevOps, Cloud Platforms, Business Intelligence, Data Warehousing, Automation

Industry

Retail Apparel and Fashion

Description

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. The Data Engineer will help design, build and maintain modern data pipelines and reporting solutions using Microsoft and cloud-based technologies. This role will provide hands-on experience with ETL/ELT development, BI tools and cross-functional collaboration across finance, operations and IT teams. The ideal candidate has a strong foundation in SQL and Python, and is excited to grow their skills in Azure, Microsoft Fabric and other enterprise data platforms. ESSENTIAL FUNCTIONS: Assist in developing SQL queries, views, and stored procedures for data transformation, reporting, and analytics. Support the creation and maintenance of ETL/ELT pipelines using Azure Data Factory, Synapse pipelines, or Microsoft Fabric. Learn and contribute to data modeling and transformations in Microsoft Fabric (Lakehouse, Dataflows, Power Query, and Notebooks). Help maintain and monitor data pipelines running in Azure (Data Factory, Logic Apps, Storage Accounts, etc.). Build and enhance dashboards and reports in Power BI to visualize KPIs, financial results, and operational metrics. Work with business stakeholders to gather reporting requirements and translate them into technical specifications. Contribute to automation projects using Python, SQL, Power Automate, and Fabric pipelines to reduce manual effort. Participate in data validation, cleansing, and quality assurance to ensure accurate reporting. Gain exposure to cloud data warehouses such as Snowflake and Azure Synapse. Learn and apply version control (Git/GitHub), DevOps practices, and CI/CD pipelines in a Microsoft-centric environment. COMPETENCIES Knowledge of cloud platforms (Azure, AWS, or GCP), with a focus on Azure services. Familiarity with Git/GitHub, Docker, or Linux command line. Understanding of financial or retail data concepts (a plus, not required). Solid SQL skills, with ability to query and transform data from multiple systems. Proficiency in Python for data manipulation (pandas, PySpark, etc.). Familiarity with Microsoft technologies, especially Power BI, Power Automate, Excel, and SQL Server. Interest in learning Microsoft Fabric, including Lakehouse, OneLake, Dataflows, and integrated pipelines. Exposure to Azure Data Services (Data Factory, Synapse, Logic Apps, Fabric). Strong analytical, problem-solving, and communication skills. EDUCATION/EXPERIENCE: Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance/Accounting, or related field (or equivalent experience). 1–3 years of professional experience in data analysis, BI development, or related technical role (internships and academic projects considered). Hands-on experience with Microsoft Fabric or Azure Synapse Analytics. Must be Authorized to work in the United States If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Peter Millar was founded in 2001 with a single cashmere sweater. Through this initial garment, an ethos emerged to embody luxury, elegance and a dedication to superior craftsmanship. Today the brand has grown to include luxury performance sportswear, seasonal resort apparel, refined tailored clothing, and sartorial accessories. Each offering features the finest raw materials and fabric innovations while utilizing the world’s best yarn spinners, artisanal workshops and highly specialized factories. Peter Millar clothes and accessories are available online and in specialty retail stores and the most prestigious resorts. Our global distribution includes North America, Europe, Asia, Australia and the South Pacific. Peter Millar is headquartered in Raleigh, North Carolina with a distribution center in Durham, North Carolina.

Responsibilities

The Data Engineer will design, build, and maintain modern data pipelines and reporting solutions. This role involves hands-on experience with ETL/ELT development and collaboration across finance, operations, and IT teams.