Data Engineer – PPI Digital Transformation (Multi-site)

Sede di lavoro: Roma, Napoli, Milano oppure Smart Working

Contratto: Tempo Indeterminato, P.Iva

Stipendio: Da 25.000 - 40.000 € lordi annui in base alle proprie competenze

Ricerchiamo Sviluppatori in almeno uno dei seguenti ambienti: ,
(BA) Business
Analyst
, (BI) Business Intelligence, Data WareHouse,
PL/SQL
da inserire presso alcuni prestigiosi clienti attivi in ambito Telco, Bancario, Assicurativo, Pubblica Amministrazione e Industria. I candidati selezionati saranno inseriti in ambienti strutturati, lavoreranno in team su progetti complessi e sfidanti. Offriamo un inserimento in un contesto stimolante e innovativo, con grandi prospettive di crescita professionale (
sono incluse ore di formazione e preparazione certificazioni
)

Inviare il proprio curriculum a
curriculum@informet.it
Requisiti richiesti

Business Intelligence

• Esperienza pregressa di 2-3 anni nel ruolo;
• Forti competenze in materia di estrazione, gestione, manipolazione ed analisi dei dati;
• Ottime capacità di analisi e di sintesi, al fine di tradurre le richieste in requisiti tecnici e quindi in risultati;
• Dimestichezza con database relazionali e programmazione SQL (preferibilmente su MS SQLServer);
• Familiarità con soluzioni di Data Visualization (Tableau, Tibco Spotfire, MS PowerBI, QLik);
• Familiarità con sistemi di Business Intelligence;

Data Warehouse

• Conoscenza di SQL Server e SQL Server Integration Services.
• Conoscenza di Data Warehouse.
• Power BI.
• Python.

Business Analytics

• IBM DataStage
• Informatica Power Center
• Talend
• Power BI
• Python

Data Analytics

• Datawarehouse
• Business Intelligence
• Big Data
• Data Science
• GIS-IoT
• Deep Learning
• Machine Learning
• Artificial Intelligence

Principali responsabilità

Le Tecnologie Maggiormente Utilizzate Sono

• IBM DataStage
• Informatica Power Center
• Talend
• Teradata
• Oracle ODI
• Oracle Exadata
• IBM Neteza
• IBM DB2
• Power BI
• Python
• Kafka
• Hive

Principali Responsabilità

• Sviluppo di applicazioni.
• Collaborazione nell’attività di supporto, manutenzione e aggiornamento delle soluzioni

Caratteristiche Personali

• Una forte predisposizione ad operare in team;
• Ottime doti relazionali
• Orientamento al cliente
• Flessibilità e proattività.
• Capacità di problem solving;
• Elevato orientamento al cliente e forte entusiasmo;
• Buona gestione dello stress e del tempo;
• Buone capacità organizzative;
• Predisposizione ad apprendere nuovi linguaggi e tecnologie.

Benefit

• Assicurazione sulla vita
• Buoni pasto
• Cellulare aziendale
• Computer aziendale
• Lavoro da casa
• Mensa aziendale
• Supporto allo sviluppo professionale

Tipi Di Retribuzione Supplementare

• Bonus annuale
• Premio di produzione
• Straordinario

DESCRIPTION

AWS Infrastructure Services (AIS)

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our

customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

Amazon is looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team in the Greater Milan Area. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers.

The Data Center Chief Engineer (CE) is responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves both planned preventative maintenance of equipment, daily corrective work, and emergency response to emergent issues. The CE serves as an expert technical resource interacting with onsite Engineering Operations Technicians (EOT) and any third party vendors. They are expected to be a singular focal point for all facility operations and to support Amazon within its owned and operated data centers.

Also expected from the CE is the ability to manage large scale impacting projects and new region support from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, procurement, and finance in both local and global settings. The CE will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the CE to drive innovation and resiliency while reducing operational costs in the facilities.

The CE directs, trains and supports EOTs in their role of providing hands-on electrical and mechanical equipment troubleshooting and operations. Implementation and execution of site/equipment-specific training exercises is also expected. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers, cooling towers, chemical treatment systems, pumps, motors, VFDs, and building automation systems.

The role will be based in the Greater Milan area, however flexibility is required to travel to other locations within the EMEA region if required.

Key job responsibilities

• Oversee the day-to-day operations and maintenance of mechanical and electrical equipment in data centers
• Assist in the design and build out of new facilities
• Act as an escalation point for all facilities-related issues within the data center region and work OT hours as needed to support site stability
• Perform root cause analysis of equipment failures
• Troubleshoot and report of facility and data sever-level events within internal SLA
• Create and deploy new standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams
• Provide training and guidance to Engineering Operations Technicians and assisting in recruiting efforts for the same
• Ensure all safety procedures are adhered to by vendor and Amazon staff
• Utilize internal Change Management Systems to manage building workflows
• MV/LV Isolation to facilitate MV maintenance
• Provide metric availability reporting on a weekly basis

The successful candidate must be able to demonstrate the following competencies and behaviors:

• Ability to solve problems at their root, stepping back to understand the broader context.
• Aptitude for troubleshooting and problem solving.
• Ability to maintain SLAs through the implementation of proactive issue detection and immediate response.
• Proven experience of reading SLDs and control schematics.
• Ability to follow support procedures, system documentation, and issue tracking entries into a trouble ticket system.
• Shows good judgment and instincts in decision making.
• Ability to prioritize in complex, fast-paced environment.
• Ability to demonstrate their ability to take ownership of technical issues brought to them by their customer base

Physical Requirements:

• Work at heights and from ladders.
• Perform physical tasks
• Work in a noisy environment with ear protection

**To apply, please submit a detailed copy of your CV in English**

Working location:

Our data centers are located in remote areas outside Milan, where access via public transport may be limited. Therefore, a valid driving license is required for this role.

Work Schedule:

This is a 100% in-person onsite position due to the hands-on nature of managing mission-critical infrastructure. The role follows standard working hours (8 AM – 5 PM Milan time from Mo - Fri) with no shift work.

Working language:

Please be advised that the interview process at AWS will be conducted in English, as we are an international team based in the Greater Milan area.

About the team

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

The applicable collective agreement for this role is CBA for employees of Telecommunication Sector. The position is classified at level 6 or above, depending on the candidate’s skills, competences and experience.
BASIC QUALIFICATIONS

• Speak, write, and read fluently in English
• Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint)
• Apprentice/trades certified or diploma in an Electrical field
• Demonstrate key electrical competencies (Practice & Theory)
• Knowledge of mechanical systems (Mechanical, HVAC systems, Controls)
• Ability to take full ownership of technical issues
• Willing to travel between Data center sites, and internationally if required

PREFERRED QUALIFICATIONS

• Experience in program or project management
• 3+ years of experience in operations and on-call support for Data Center facilities / or Mission Critical Plants/ Production facilities
• An undergraduate degree in a technical field (EE, MechE, IndustrialE);

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy\_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how\-we\-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The minimum gross base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated.

Amazon reserves the right to offer a higher salary and/or level, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA.

Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.

In addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms.

Milan, ITA - 37,000.00 EUR Annually

Role Description
This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes.

The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role.

Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry.

Key Responsibilities

• Lead enterprise AI platform deployments across complex multi-stakeholder client environments — Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, or Palantir — owning the full programme from architecture through adoption

• Own programme-level delivery outcomes: time-to-value, reliability, adoption velocity, and scalability across multiple concurrent workstreams, with commercial metrics attached

• Lead rapid experimentation at pace: drive ambiguous business problems to working production systems in days or weeks across complex enterprise environments

• Architect and govern enterprise AI solutions across the full technology stack: identity, data, security, governance, platform layer, and multi-system workflow integration at programme scale

• Shape AI reinvention strategy for client CTO, CFO, and CISO: build value architecture, ROI backlogs, use case prioritisation frameworks, and multi-year AI adoption roadmaps

• Define and publish reusable reinvention blueprints, patterns, and accelerators that scale across multiple client engagements and grow the FDE practice

• Lead architecture design sessions, executive workshops, and code-with sessions with client engineering and C-suite leadership teams

• Codify delivery learnings, failure patterns, and engineering standards that shape the FDE practice and enable the next generation of forward deployed engineers

Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the job level is under the A1 National Collective Bargaining Agreement. The gross annual salary range is between 50,000 and 86,700 EUR.
Basic Qualifications

• Extensive and demonstrable engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).

• Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.

• Extensive and demonstrable experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models — including building abstraction layers to manage multi-provider pipelines.

• Extensive and demonstrable experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports"

• Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify

• Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on

• Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level

• Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching

• People lead responsibilities: experience managing, developing, and performance-managing a team of engineers; setting individual development plans and conducting career conversations

Lavora al cuore del cambiamento
Perché assistere al cambiamento, quando puoi guidarlo? In Accenture, potrai crescere in un ambiente inclusivo e rispettoso della tua unicità e valori, sviluppando le tue abilità con programmi di training continuativi ed esperienziali. Unisciti al motore che alimenta Accenture, crea valore a 360° per i nostri clienti e le comunità in cui lavoriamo grazie al tuo contributo come Reinventor e accompagna le aziende più importanti nel loro percorso di trasformazione digitale.

Il tuo ruolo e le tue prospettive
Entra a far parte del Reinvention Partner
Industry & Enterprise
in ambito
Technology Strategy & Advisory
nel settore
Public Service
. Parteciperai a sfidanti progetti di trasformazione digitale rivolti alla Pubblica Amministrazione centrale, locale, regionale e alla Sanità, contribuendo alla gestione, evoluzione e ottimizzazione dei servizi IT. In particolare, svilupperai competenze nei seguenti ambiti. Nello specifico, ti occuperai di:

• Supportare i clienti nella definizione di strategie IT e roadmap di trasformazione, contribuendo all’allineamento tra architettura enterprise e obiettivi di business;

• Analizzare il livello di maturità architetturale e tecnologica, conducendo assessment e benchmarking per identificare opportunità di evoluzione e innovazione;

• Contribuire al disegno di architetture enterprise (application, data, integration), supportando la definizione di modelli target anche in contesti Cloud e Hybrid-Cloud;

• Analizzare e indirizzare l’evoluzione dell’ecosistema tecnologico del cliente, con esposizione a paradigmi e tecnologie emergenti (es. cloud, API, data platforms, AI), in ottica advisory;

• Supportare la definizione di framework architetturali e modelli di governance IT, contribuendo alla produzione di materiali a supporto dei processi decisionali.

La retribuzione prevista in Accenture viene definita sulla base di molteplici elementi di valutazione, tra cui – ad esempio - il ruolo ricoperto, il livello di seniority, il grado di responsabilità, le competenze professionali e l’esperienza maturata. Per la presente posizione, è previsto un livello di inquadramento III nel CCNL Commercio.

La fascia di retribuzione annua lorda prevista è compresa tra 27.904,80 € e 34.600 €.

Le tue caratteristiche
Se vuoi fare della tua passione una carriera e hai le seguenti caratteristiche, ti stiamo aspettando:

• Laurea Magistrale conclusa in Ingegneria Informatica, Elettronica o Gestionale, Fisica, Matematica o altre discipline STEM;

• Esperienza da 0 a 3 anni in società di consulenza o su progetti di Digital Transformation, inclusi tirocini, tesi di laurea o progetti universitari rilevanti;

• Conoscenza base di sistemi operativi, reti, basi di dati, linguaggi di programmazione (Java, Python, C#, Angular) e/o metodologie di sviluppo (Agile, DevOps), architetture client-server, protocolli di rete, routing e firewalling;

• Conoscenza base delle piattaforme Cloud (AWS, Azure, Google Cloud), modelli di servizio (IaaS, PaaS, SaaS) e familiarità con SQL, Big Data, Business Intelligence, AI/ML e CI/CD;

• Forte motivazione alla crescita professionale, proattività, problem solving e ottime doti comunicative, unite a un’ottima conoscenza della lingua italiana.

Scopri di più su di noi
Intellera Consulting
è un’azienda di consulenza organizzativa, gestionale e tecnologica d’eccellenza, forte di circa 1.400 professionisti con consolidate conoscenze di molteplici settori industriali nel mercato nazionale e internazionale. Combinando un’esperienza unica e competenze specialistiche in ambito public, fornisce servizi di digital transformation.

Da maggio 2024 Intellera è entrata a far parte del Gruppo Accenture, rafforzandone il posizionamento nel mercato della Pubblica Amministrazione e dell'Healthcare.

Policy
Qualora il tuo percorso di selezione andasse a buon fine, avrai la possibilità di aderire all’Accordo di smart working, ove compatibile con l’attività svolta, e lavorare da remoto secondo quanto previsto dalle policy aziendali.

Applicando alle nostre posizioni, il candidato/la candidata si impegna sin da ora ad osservare il sistema di gestione anticorruzione Intellera, comprendente Policy e Codice Etico.