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Senior Consultant - Azure Data Platform

Insight insight.com Open · verified Oct 24, 2026
Milan Senior Data Engineering

At a glance

Senior Data Engineering role at Insight. Milan.

Pay not stated Data Engineering salary

RoleData Engineering
SenioritySenior
LocationMilan
PostedSep 5, 2026 · 7w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Turn business needs into secure Azure data designs that can scale across complex enterprise settings
  • Build and improve Lakehouse, data warehouse and streaming platforms, along with dependable data pipelines
  • Join BI, AI and application teams to connect data solutions across disciplines
  • Lead workshops, assessments and proof-of-concept work, and help shape presales solutions
  • Coach junior consultants and strengthen the team’s delivery skills

What you bring

  • Six or more years in data and analytics, including work on complex enterprise projects
  • Hands-on experience with Azure data services, including Databricks, Fabric and Data Factory or Synapse Pipelines
  • A consulting or system integrator background

Who this fits

This senior, client-facing role suits someone who can work independently with both business and technical stakeholders. You’ll contribute across delivery and presales, and guide junior consultants. Microsoft data certifications are preferred.

From the employer

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

Azure Data Platform

  • Azure Databricks
  • Microsoft Fabric (Lakehouse, Warehouse, Data Engineering)
  • Azure Data Factory / Synapse Pipelines
  • Azure Data Lake Storage Gen2
  • Azure SQL Database / SQL Managed Instance

Data Integration & Modeling

  • Data modeling
  • ELT / ETL patterns
  • Integration from heterogeneous sources (ERP, CRM, APIs)
  • Structured and semi-structured data management

Analytics & Business Intelligence

  • Power BI (semantic models, dataset optimization)
  • Row-Level Security (RLS)
  • Support for Self-Service BI scenarios

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)

Why join Insight

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.

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.