Posted on: 03/11/2026
About the Role :
Make an impact with MNP Digital as a Senior Data Engineering Consultant (Microsoft Fabric) helping empower our clients with innovative data solutions that unlock insights, drive transformation, and share the future of Data and AI.
Total Experience : 8 - 12 years
Responsibilities :
- Design and implement data pipelines, transformations, and data models using Microsoft Fabric (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake).
- Collaborate with architects, business analysts, and stakeholders to translate business needs into technical solutions.
- Build and optimize Fabric Notebooks, Pipelines, and Dataflows to support batch and near-real-time ingestion.
- Implement Medallion architecture best practices (Bronze, Silver, Gold layers) for data curation and analytics readiness.
- Ensure data quality, lineage, and security by leveraging Fabric-native governance and Microsoft Purview.
- Develop and maintain semantic models to support advanced reporting and analytics in Power BI.
- Document and enforce best practices for ingestion, transformation, and modeling across the Medallion architecture.
- Support CI/CD and DevOps processes for Fabric workspace deployments and pipeline automation.
- Mentor Consultants and junior engineers, conducting code reviews and technical knowledge-sharing sessions.
- Troubleshoot performance issues in Fabric workloads, optimizing pipelines and queries for scale.
- Stay current with the Fabric ecosystem, Spark, and Azure Data Services, and contribute to best-practice adoption.
Skills :
- Post-secondary education in Computer Science, Engineering, or related discipline.
- 5 - 8 years of professional experience in data engineering, with hands-on project delivery in cloud data platforms.
- Strong proficiency in Microsoft Fabric components (Lakehouse, Synapse Data Engineering, Data Factory, Direct Lake).
- Strong programming skills in SQL, Python, and PySpark for data transformations.
- Experience with Azure Data Factory, Databricks, and modern data lake implementations.
- Strong communication skills with the ability to present technical solutions to both executive and technical audiences.
- Knowledge of data governance, metadata management, and lineage tracking with Purview or Fabric equivalents.
- Proficient in CI/CD implementation, automation, and deployment pipelines.
- Strong knowledge of Microsoft Fabric, Spark, SQL, and ADF for hybrid and migration scenarios.
- Strong analytical and problem-solving skills in distributed data environments.
- Excellent collaboration skills; able to mentor junior engineers and work as part of Agile teams.
Educational Qualifications :
- Bachelor of Computer Science, Engineering, or related discipline.
Certifications :
- Microsoft Certified : Fabric Data Engineer Associate (DP-700)
- Microsoft Certified : Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified : Azure Data Engineer Associate (DP-203)
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1681960