INTEGRATZ
Sr Data Engineer (Microsoft Fabric, Power BI, and Purview)
Design and build Microsoft Fabric lakehouses, warehouses, and Power BI datasets for enterprise analytics, using Python, SQL, and medallion architecture.
- Compensation
- Not disclosed
- Location
- Remote
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Full description
- Design, develop, and maintain Microsoft Fabric Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, and OneLake-based data assets.
- Build scalable ingestion, transformation, cleansing, and validation pipelines for structured, semi-structured, and cloud-based data sources.
- Implement medallion architecture patterns across Bronze, Silver, and Gold layers to support trusted enterprise analytics.
- Develop Power BI-ready datasets and semantic models that support executive dashboards, operational reporting, and self-service analytics.
- Partner with BI developers to optimize Direct Lake, Import, and composite model approaches based on usage, scale, performance, and governance needs.
- Apply Microsoft Purview and Fabric governance practices, including metadata, lineage, and data quality controls, to improve data discoverability and compliance.
- Optimize data workloads for performance, reliability, scalability, and cost-effective capacity utilization.
- Support CI/CD, deployment pipelines, version control, documentation, monitoring, and production support for data solutions.
- Translate technical data engineering concepts into clear explanations for business users and client stakeholders.
- Collaborate with architects, analysts, data scientists, and business teams to deliver end-to-end data and analytics solutions.
- 5+ years of experience in data engineering, analytics engineering, data platform development, or related technical roles.
- Strong SQL and Python skills, with experience building analytical data models, transformation logic, and ETL/ELT pipelines for enterprise analytics and reporting use cases.
- Experience working with cloud data platforms, preferably Microsoft Azure and Microsoft Fabric.
- Working knowledge of dimensional modeling, lakehouse patterns, and semantic modeling concepts.
- Ability to work independently while collaborating effectively with distributed teams, with strong written and verbal communication skills.
- Advanced English proficiency, written and spoken, required for daily collaboration with U.S.-based teams and client-facing engagements.
- Valid passport and up-to-date travel documentation for the United States, as occasional international travel may be required depending on client and project needs.
- Competitive salary.
- Opportunity to work on Integratz's enterprise data warehouse modernization program, applying modern Microsoft Fabric, Power BI, Purview, and Azure technology.
- A proven delivery method, Integratz's medallion architecture build pattern, not a one-off, unstructured engagement.
- Flexible, primarily remote work environment.
- Collaborative, inclusive, and multicultural consulting environment with direct exposure to enterprise-scale data transformation.
- Growth path into architecture, analytics engineering leadership, governance, or data platform strategy roles, with access to certifications and cutting-edge tools and technologies.
- Supportive team culture focused on practical delivery, client value, and continuous improvement.