Azure Data Engineer

Azure Data Engineer with Power BI – MarTech & Retail Focus
Location: Remote, USA
Rate: $55 - $60 per hours (W2 Preferred)
Job Type: Contract, 6 Months
Our client is seeking a highly skilled Azure Data Engineer with strong Power BI expertise and a solid understanding of Marketing Technology (MarTech) platforms.

This role is critical in enabling data-driven decisions across marketing and retail operations by designing, building, and optimizing data pipelines and analytics solutions on Azure.
Ideal for candidates who thrive in modern data environments, this position offers the opportunity to work on high-impact analytics and reporting solutions that directly influence customer engagement strategies and retail performance.
Key Responsibilities:

- Design, build, and maintain scalable and reliable data pipelines and ETL processes using Microsoft Azure services.
- Develop Power BI dashboards and reports that provide actionable insights across marketing and retail functions.
- Integrate and process large datasets from MarTech platforms to support marketing campaign analytics and performance measurement.
- Optimize data models and transformations for efficient querying and reporting.
- Collaborate with marketing, IT, and data science teams to understand analytics needs and deliver impactful data solutions.
- Ensure data governance, quality, and security standards are upheld across all deliverables.

Key Requirements:

- 8+ years of experience in data engineering and analytics roles.
- Strong hands-on experience with Microsoft Azure, including services such as Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
- Proven expertise in building Power BI dashboards, DAX calculations, and performance-tuned data models.
- Solid understanding of MarTech platforms and how marketing data is structured, captured, and used.
- Experience building end-to-end data solutions in cloud environments (Azure preferred).
- Strong SQL and data modeling skills.
- Ability to collaborate effectively across business and technical teams.
- Excellent problem-solving and communication skills.

IDEAL CANDIDATE PROFILE

- 8+ years’ experience in data engineering, BI development, or analytics delivery.
- Deep expertise in Microsoft Azure data tools and Power BI.
- Familiarity with MarTech platforms (e.g., Adobe Experience Cloud, Salesforce Marketing Cloud, or similar).
- Strong foundation in SQL, data transformation, and cloud data architecture.
- Comfortable working in retail or consumer-facing industries.
- Demonstrated ability to turn complex data into insightful, user-friendly dashboards.
- Strong cross-functional communication skills, with an ability to gather and translate business requirements.