Data Engineer

Description

We are looking for a Data Engineer to join a team on a Long-term Contract assignment. This position will play a key role in strengthening an established Microsoft Fabric environment by building scalable data solutions that improve reliability, accessibility, and business value. The ideal candidate brings strong technical depth in modern data engineering, paired with the ability to evaluate data design choices thoughtfully and communicate effectively with stakeholders. You will work with business-facing data needs while helping shape well-structured datasets that support reporting, analytics, and long-term platform maturity.

Responsibilities:

Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability.

Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets.

Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context.

Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization.

Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes.

Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues.

Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools.

Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions.

Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases.

Requirements

Hands-on experience building and maintaining solutions within Microsoft Fabric.
Strong knowledge of data modeling concepts and layered architecture patterns, including Bronze, Silver, and Gold frameworks.
Experience working in Azure-based data environments and delivering cloud-oriented data engineering solutions.
Demonstrated ability to apply independent judgment to data design decisions rather than simply executing predefined requests.
Background in ingesting, transforming, and modeling Salesforce data for analytics or reporting purposes.
Familiarity with legacy reporting or warehousing environments, including spreadsheet-heavy processes and older platform patterns.
Experience with tools and technologies such as Python, Apache Spark, ETL processes, and related big data or streaming concepts.
Strong communication skills and confidence working directly with business partners to clarify needs and explain technical recommendations.

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