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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, metro data engineer role with common skillset and broad hiring pool.
Data engineering skills are transferable, but Microsoft Fabric and consulting experience increase domain specificity.
Explicit 3-year minimum plus mandatory Azure, Fabric, SQL, Python, and DevOps experience increases filtering strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design and optimize data engineering solutions primarily using Microsoft Azure stack components including Synapse and Fabric.
Develop, document, and maintain scalable ETL/ELT pipelines and data models supporting dashboards, analytics, and AI use cases.
Implement data quality, lineage, observability, and CI/CD best practices while collaborating with clients and internal teams for requirements and knowledge sharing.
Minimum Requirements
Bachelor's degree required.
Minimum 3 years experience delivering production data solutions, preferably in consulting or client-facing roles.
Proficient in SQL, Python, and Microsoft data services including Azure Data Factory/Fabric Data Pipelines, Synapse, and Databricks.
Experience working with Microsoft Fabric components and strong Azure fundamentals (storage, networking, security, cost management).
Ideal Candidate Profile
Experienced in consulting environments with client interaction for data solution delivery and iterative demonstrations.
Skilled in building modern, well-architected data pipelines and lakehouse data models (medallion layers, semantic models) targeting enterprise clients.
Familiar with DevOps practices like Azure DevOps/GitHub CI/CD, test automation, metadata frameworks, and integration of ERP/SaaS data sources.