MS Fabric / Power BI Consultant
Posted 2 weeks ago by Signify Technology
Negotiable
Undetermined
Remote
London, England, United Kingdom
Summary: The MS Fabric / Power BI Engineer role is a contract position focused on designing, implementing, and optimizing data solutions using Microsoft Fabric and Power BI. The engineer will manage data architecture, build scalable data assets, and ensure compliance with governance standards while mentoring teams in best practices. The position requires extensive experience in data engineering and analytics, particularly with Microsoft technologies. This role is remote and part of the IT consultancy industry.
Key Responsibilities:
- Design, implement, and optimize end-to-end solutions using Microsoft Fabric components.
- Manage and enhance OneLake architecture, delta lake tables, and data governance.
- Architect and deliver enterprise Power BI solutions, including robust semantic models and dashboards.
- Build reliable ETL/ELT pipelines and integrate structured and unstructured data.
- Implement CI/CD practices for Fabric and Power BI.
Key Skills:
- 5+ years in data engineering, BI engineering, or analytics engineering roles.
- In-depth experience with Microsoft Fabric and Power BI.
- Strong SQL and Python skills; Spark experience preferred.
- Familiarity with Git-based workflows and DevOps pipelines.
- Microsoft certifications such as DP-600 and PL-300 are highly desired.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job title: MS Fabric / Power BI Engineer
Job type: Contract
Contract Length: 6 Months
Role Location: Europe / Remote
Client Industry: IT Consultancy
Role And Responsibilities
- Microsoft Fabric Engineering
- Design, implement, and optimize end-to-end solutions using Fabric components:
- Data Factory (pipelines, orchestration)
- Data Engineering(Lakehouse, notebooks, Apache Spark)
- Data Science (Model training and deployment workflows)
- Data Warehouse (SQL endpoints, schemas, MPP performance tuning)
- Real-Time Analytics (KQL databases, event ingestion)
- Manage and enhance OneLake architecture, delta lake tables, security policies, and data governance within Fabric.
- Build scalable, reusable data assets and engineering patterns that support analytics, reporting, and machine learning workloads.
- Ensure data quality, lineage, cataloging, and compliance align with enterprise governance standards.
- Power BI (Expert Level)
- Architect and deliver enterprise Power BI solutions, including:
- Robust semantic models
- DAX calculations and optimizations
- Row-level security (RLS) and object-level security (OLS)
- Large models and composite models
- Develop visually compelling, high-performance dashboards tailored to business needs.
- Optimize dataset refresh strategies, gateway configurations, and incremental refresh policies.
- Mentor teams in Power BI best practices, performance tuning, and data visualization standards.
- Data Engineering & Integration
- Build reliable ETL/ELT pipelines using Fabric Data Factory and/or existing integration platforms.
- Integrate structured and unstructured data across multiple source systems.
- Implement CI/CD practices for Fabric and Power BI (Git integration, deployment pipelines).
Job Requirements
- 5+ years in data engineering, BI engineering, or analytics engineering roles.
- In-depth experience with Microsoft Fabric, including lakehouse architecture, data pipelines, SQL analytics, and governance components.
- Expert-level Power BI skills, including DAX, modeling, performance tuning, and advanced visualization development.
- Strong SQL and Python skills; Spark experience preferred.
- Solid understanding of data warehousing concepts, star schemas, and MPP engine performance optimization.
- Experience with Git-based workflows, DevOps pipelines, and deployment automation.
- Familiarity with Microsoft Purview and enterprise data governance frameworks.
- Proven ability to design data solutions in complex, enterprise environments.
Highly Desired
- Microsoft certifications such as:
- DP-600 (Fabric Analytics Engineer)
- PL-300 (Power BI Data Analyst)
- Experience with large-scale data migrations into Fabric.
- Exposure to cloud platforms (Azure preferred), especially ADLS, Synapse, and Databricks.
- Background in data science workflows or ML integration is a plus.
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