Basic
Senior Consultant - Azure Data Platform
Posted: 19.05.2026
Closing date: 03.07.2026
Job reference: cd681daa29e0f62ba487fefbdd477855
Job information
Location
monza-brianza, lombardia, Italy
Company
JR Italy
Client / Employer
Insight Enterprises
Job reference
cd681daa29e0f62ba487fefbdd477855
Listing type
Basic
EU work permit required
No
Posted
19.05.2026
Closing date
03.07.2026
Job description
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 initiativesStrong data quality, security, and governanceAdvanced analytics & AI use casesKey ResponsibilitiesAnalyze business requirements and translate them into Azure-based data architecturesDesign and implement Modern Data Platforms (Lakehouse, Data Warehouse, Streaming)Develop, optimize, and maintain reliable and high-performing data pipelinesCollaborate with BI, AI, and Application teams on integrated solutionsSupport workshops, assessments, PoCs, and presales activitiesMentor junior consultants and support team capability growthTechnical SkillsAzure Data PlatformAzure DatabricksMicrosoft Fabric (Lakehouse, Warehouse, Data Engineering)Azure Data Factory / Synapse PipelinesAzure Data Lake Storage Gen2Azure SQL Database / SQL Managed InstanceData Integration & ModelingData modelingELT / ETL patternsIntegration from heterogeneous sources (ERP, CRM, APIs)Structured and semi-structured data managementAnalytics & Business IntelligencePower BI (semantic models, dataset optimization)Row-Level Security (RLS)Support for Self-Service BI scenariosSecurity & PerformanceData security, encryptionMonitoring, cost control, and performance tuningConsulting & Soft SkillsStructured problem-solving mindsetStrong communication with technical and business stakeholdersHigh level of autonomy and ownershipAbility to work in multidisciplinary teamsResults-oriented and customer-focused approachSeniority & Typical Context6–10+ years of experience in Data & AnalyticsProven experience in complex enterprise projectsConsulting or System Integrator backgroundMicrosoft Azure certifications preferred (Data certification: Databricks, Fabric DP 700 or generic Data Platform DP 600)COMPANY OVERVIEW: What's so great about Insight's culture? The excitement. The energy. The way you can see success all around you – and find it for yourself. If you come to Insight with a strong work ethic and an eye for success, you'll find dozens of people reaching out to help you achieve your goal. This is a great opportunity to be part of, and drive, the future direction of Insight. We offer a competitive remuneration package and excellent benefits, with the chance to work in a rewarding environment and with a high level of autonomy and creativity. We receive high volumes of applications for many of our opportunities. Whilst we endeavour to respond to all candidates with any relevant experience, if you have not heard from us within 1 week, please consider that your application will not be progressed in relation to this role.
#J-18808-Ljbffr
Skills
advise client on technical possibilities
advise on communication strategies
advise on efficiency improvements
advise on environmental risk management systems
advise on financial matters
advise on personnel management
advise on risk management
advise on sustainability solutions
align efforts towards business development
analyse business plans
analyse business processes
analyse business requirements
analyse external factors of companies
analyse financial performance of a company
analyse internal factors of companies
analyse the context of an organisation
apply change management
build business relationships
Business Analysis
Business Analytics
business communication
business incubation
Business Intelligence
Business Law
business process modelling
business processes
business strategy concepts
conduct qualitative research
conduct quantitative research
consultation methods
Corporate Law
define organisational standards
Financial Statements
human resource management
identify processes for re-engineering
identify undetected organisational needs
implement a management system
interpret financial statements
interview people
liaise with managers
make data-driven decisions
make strategic business decisions
Management Consulting
management systems standards
market entry strategies
operational research
organisational learning
organisational policies
perform business analysis
quality standards
report analysis results
seek innovation in current practices
Strategic Planning
Trading Software