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Join Accenture and help transform leading organizations and communities around the world in achieving their goals faster and more efficiently. The sheer scale of our capabilities and client engagements and the way we collaborate, operate, and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.

As part of our Accenture Microsoft Business Group (AMBG) practice, you will lead Technology Innovation to Shape World-Class Business Solutions for our Clients and deliver them at scale.  There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting Client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges. We will nurture your talent in an inclusive culture that values diversity. Come grow Your Career in technology at Accenture!

Microsoft Data Analytics-Engineering Lead - Manager will be responsible for working with our Clients and internal teams to help shape Industry Transformation solutions using the Microsoft technology platform and its wide eco-system of partners. Companies and entire Industries need help to reinvent themselves during these challenging times and your job will be to help Companies transform themselves to emerge stronger above and beyond complex contexts such as the current one.  

A solid understanding of challenges that Clients in an Industry are facing, and how to address them using Microsoft technology ecosystem is key for delivering value. This should be combined with experience and understanding of considerations for large scale cloud analytics solutions architecting, helping Clients transforming into a data driven business, developing new data service and data platforms using digital, becoming more agile and resilient.

We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design the right solutions with an appropriate combination of Microsoft and its 3rd party technologies for deploying on the Microsoft Intelligent Data Platform.

Key responsibilities may include:

  • As a data analytics-engineering lead, you will work with implementation teams from concept to delivery, providing data and applied intelligence expertise for successfully deploying large scale digital data and analytics solutions in the enterprise, using modern digital technologies on premise and cloud

  • You will play a key role in leading the data engineering workstream of analytics transformation projects across multiple areas / domains, such as sales, marketing, supply chain, revenue management, etc.

  • You will act as lead and supervisor in data ingestion, preparation, and storage activities, such as:

    • defining Microsoft data architecture layers and data models for proof of concepts, pilots, projects

    • defining key data interfaces and transformation logics

    • defining and reviewing code for data cleansing, data checks and data transformations / preparations steps for data science (i.e. time series preparation, internal vs external data matching, base price smoothing, price imputation).

  • Lead cloud analytics solution and scoping to generate estimates and approaches for proposals and SOWs for Clients

  • You will work closely with:

    • Client data leads to transfer / explain input data requirements and perform data assessment

    • Accenture data engineering programmers to coach and grow junior resources on data curation and data transformation / harmonization activities

    • Accenture and Client data scientists to gather advanced analytics data preparation requirements, back and forth on statistical data validation / QA, …

  • Create detailed target state technical, security, data and operational architecture and design blueprints incorporating modern digital technologies and cloud services, demonstrating modernization value proposition

  • Co-lead and/or support detail technical assessments of current state of analytics architectures and data platforms and architect a path to transformation into a modern data powered enterprise / landscape

  • Conduct full technical discovery, identifying pain points, business, and technical requirements, “as is” and “to be” scenarios

  • Compare solution alternatives across both technical and business parameters which support the definition of cost and service requirements

  • Apply methodology, reusable assets, and previous work experience to deliver consistently high-quality work

  • Deliver written or oral status reports regularly

  • Stay educated on new and emerging analytics technologies/patterns/methodologies and market offerings that may be of interest to our Clients

  • Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems

  • Use considerable judgment to define solutions and seeks guidance on complex problems

  • Support answers to RFPs issued by Clients

Le tue caratteristiche

Required Qualifications



  • An academic degree on Computer Science / Information Technology or Industrial Engineering

  • Significant experience in technical solutions implementation, architecture design, and engineering programming / coding on MSFT platform

  • Significant experience (or similar) in the following technologies and tools:

    • Azure Databricks (primary)

      • Python (PySpark)

      • Scala

      • SQL

    • Azure SQL DWH / Synapse (primary)

    • Azure Datafactory (ADF)

    • Power BI

      • DAX

      • Power Query / M

  • Special focus on Dynamics Customer Insights, Customer Data Platform (CDP), Customer Data Architecture (CDA), Microsoft Common Data Model (CDM / IDW), etc.

  • Knowledge of the Microsoft technologies including Microsoft Azure, Microsoft 365 (Office 365), Dynamics-365, Power-Platform




  • Deep and strong knowledge and expertise in the broad analytics area cross industry

  • Multiyear experience in activities such as: data maturity assessment and analysis, data ingestion, data cleansing and harmonization, data preparation and advanced analytics transformation through data science, machine learning, data visualization, data architecture, data security, etc.

  • Specific industry knowledge required with preference on Consumer Goods & Services and/or Retail

  • Knowledge in Revenue Management (Trade Promotion Optimization, Pack Price Architecture, Assortment Optimization, Customer Segmentation, ...) is good to have

  • Knowledge in Sales & Marketing topics (Customer Business Planning, Account Planning, Trade Promotion Management) is good to have

COVID-19 update: la sicurezza dei nostri candidati, del nostro personale e delle rispettive loro famiglie continua ad essere una priorità assoluta. Il processo di selezione verrà quindi gestito in virtuale tramite la migliore modalità a tua disposizione. 

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