Data Engineer

We are looking for an experienced Interim Analytics Engineer / Data Engineer to support the development of a robust and scalable data foundation. This role focuses on building reliable data pipelines, well-structured models, and trusted datasets that enable consistent, high-quality analytics across the organization. You will play a key role in strengthening the data platform-moving beyond quick fixes to create sustainable, well-documented, and maintainable solutions.

Key Responsibilities

Design, build, and maintain data pipelines using Microsoft Fabric and Azure Ingest

clean, and transform data from various source systems into analytics-ready layers

Develop and maintain scalable data models that support efficient and consistent reporting

Create reusable datasets to enable self-service analytics

Implement data quality checks, monitoring, and testing frameworks to ensure reliability

Establish guardrails such as validation processes, alerting, and documentation to maintain system integrity

Document data pipelines, transformations, and business logic clearly for future use

Collaborate with business and technical stakeholders to translate requirements into robust data solutions

Required Skills & Experience

Proven experience as an Analytics Engineer or Data Engineer (interim or project-based experience is a plus)

Strong proficiency in SQL

Hands-on experience with Microsoft Fabric and/or Azure data services

Solid understanding of data modeling techniques (e.g., dimensional modeling, medallion architecture)

Experience with data transformation and pipeline design

Strong focus on data reliability, including version control, testing, and documentation

Familiarity with data quality frameworks and testing methodologies

Understanding of data governance and compliance best practices

Excellent problem-solving skills and strong attention to detail

*Rates depend on experience and client requirements

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