Senior Consultant - Azure Data Platform

Insight Enterprises, Inc.; Milano; In loco; EUR 50.000 - 70.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus

Company car / car allowance

Descrizione del lavoro

Insight Enterprises, Inc. in Milano is seeking a Senior Data Consultant for the Azure Data Platform to design, implement, and optimize modern data platforms on Microsoft Azure.

You will translate business requirements into scalable, secure data solutions, support presales activities, mentor junior consultants, and collaborate with BI and AI teams to accelerate data-driven transformation. This role offers collaboration with strategic partners and exposure to enterprise-scale projects in a

Competenze

• 6–10+ years of experience in Data & Analytics.
• Proven experience in complex enterprise projects.
• Consulting or System Integrator background.
• Azure certifications preferred (Databricks, Fabric DP 700 or DP 600)

Mansioni

• Analyze business requirements and translate them into Azure-based data architectures.

Conoscenze

Azure Data Platform

Data Modeling

ETL/ELT

Power BI

Data Security

Formazione

Azure Data Certifications

Strumenti

Databricks

Microsoft Fabric

Descrizione del lavoro

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The Senior Data Consultant – Azure Data Platform is a senior, client‑facing professional responsible for the design, implementation, and optimization of Modern Data Platforms on Microsoft Azure, supporting organizations in their data‑driven transformation journey.

Acting as a trusted advisor between IT and Business, this role translates business requirements into scalable, secure, and governed data solutions. The consultant operates in complex enterprise environments, contributing to both delivery and presales activities, including assessments, roadmap definition, and solution shaping.

The role enables:

• End‑to‑end Data Modernization initiatives
• Strong data quality, security, and governance
• Advanced analytics & AI use cases

Key Responsibilities

• Analyze business requirements and translate them into Azure-based data architectures
• Design and implement Modern Data Platforms (Lakehouse, Data Warehouse, Streaming)
• Develop, optimize, and maintain reliable and high‑performing data pipelines
• Collaborate with BI, AI, and Application teams on integrated solutions
• Support workshops, assessments, PoCs, and presales activities
• Mentor junior consultants and support team capability growth

Technical Skills

• Microsoft Fabric (Lakehouse, Warehouse, Data Engineering)

Data Integration & Modeling

• Data modeling
• ELT / ETL patterns
• Integration from heterogeneous sources (ERP, CRM, APIs)
• Structured and semi‑structured data management
• Power BI (semantic models, dataset optimization)
• Row‑Level Security (RLS)

Security & Performance

• Data security, encryption
• Monitoring, cost control, and performance tuning

Consulting & Soft Skills

• Structured problem‑solving mindset
• Strong communication with technical and business stakeholders
• High level of autonomy and ownership
• Ability to work in multidisciplinary teams
• Results‑oriented and customer‑focused approach

Seniority & Typical Context

• 6–10+ years of experience in Data & Analytics
• Proven experience in complex enterprise projects
• Consulting or System Integrator background
• Microsoft Azure certifications preferred (Data certification: Databricks, Fabric DP 700 or generic Data Platform DP 600)

This is a chance to join a business that is actively accelerating its solutions and services motion. You’ll have the opportunity to build, influence and grow in a role with real impact, working with leading technologies, strategic partners and a highly collaborative team. At Insight, we are committed to gender‑neutral pay equity. The established gross salary range for this position is 50.000€ to 70.000€ + bonus+ company car/car allowance (level quadro). The final offer will be determined based on objective criteria, including the candidate’s documented skills, qualifications, and professional experience evaluated during the recruitment process.

Job Segment: Business Intelligence, Database, Data Warehouse, ERP, Pre‑Sales, Technology, Sales