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Resultados para: Business intelligence in Milano Due, Italia
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Senior Data Engineer

Hays Solutions, società del gruppo multinazionale Hays, quotata al London Stock Exchange, offre servizi di consulenza mirati all’individuazione, alla comprensione e al raggiungimento degli obiettivi concreti di un progetto di business in ambito IT, Engineering o Digital.Stiamo ricercando un Senior Data Engineer da inserire nel nostro team.Nel tuo ruolo, sarai il punto di riferimento per la progettazione e la trasformazione dei dati, applicando best practice in Data Modeling, ottimizzazione delle prestazioni e Data Governance. Lavorerai su un’infrastruttura cloud basata su Google Cloud, coordinando l’ingestion, il cleaning e l’aggregazione dei dati, e preparandoli per future integrazioni con un data lake. Collaborerai quotidianamente con Data Scientist, IT Team Leader e Product Manager per trasformare i dati in insight strategici e supportare l’innovazione dell’azienda.Responsabilità:• Orchestrazione e Pipeline Dati:- Progettare e sviluppare pipeline ETL/ELT per l’ingestion e la trasformazione dei dati.- Orchestrare processi di ingestion e cleaning tramite Apache Airflow in modo efficiente e scalabile.• Gestione e Aggregazione dei Dati:- Creare soluzioni riutilizzabili per l’acquisizione, l’archiviazione, la trasformazione e la gestione dei dati.- Automatizzare processi di data cleaning e preparazione tramite scripting in Python, sfruttando la tua passione per la sperimentazione e l’innovazione tecnica.• Infrastruttura e Sicurezza:- Gestire e ottimizzare l’infrastruttura dati su Google Cloud, garantendo sicurezza, governance e conformità normativa.- Collaborare con il team DevOps per implementare pipeline CI/CD e monitorare le performance dei sistemi.• Supporto a AI e Business Intelligence:- Preparare i dati per modelli AI/ML e contribuire allo sviluppo di strumenti di data visualization per analisi approfondite.• Formazione e Mentoring:- Formare i Data Engineer Junior, trasmettendo best practice e guidando il loro sviluppo tecnico e professionale.Le Tue Competenze• Esperienza e Formazione:- Laurea in Informatica, Ingegneria Informatica, Data Science, Matematica o discipline affini.- Almeno 4 anni di esperienza in data engineering in contesti tech e digitali.• Competenze Tecniche:- Padronanza di SQL e Python per lo sviluppo e l’automazione dei processi dati.- Conoscenza di database NoSQL (MongoDB)- Esperienza consolidata con Apache Airflow per l’orchestrazione delle pipeline e con MongoDB per la gestione dei database NoSQL.- Competenza nell'utilizzo di Kubernetes per il deployment e la gestione scalabile di applicazioni containerizzate.• Infrastruttura Cloud:- Competenza nella gestione di infrastrutture dati su Google Cloud.• Soft Skills:- Eccellenti capacità di problem solving, innovazione e comunicazione.- Propensione a sperimentare nuove tecnologie e approcci, con attitudine a migliorare costantemente le soluzioni.- Predisposizione al lavoro in team multidisciplinari e a collaborare in ambienti dinamici

HAYS PLC • Milano, Italia

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Data Analyst

Job descriptionAs a Data Analyst, you will transform complex data into clear insights that support decision-making across Finance, Procurement, Sales, and Marketing. You’ll be a key partner to the CFO, Business Control, and other departmental leads, acting as a central hub for reporting and analysis.Typical ResponsibilitiesDesign, update, and manage interactive dashboards and regular reports to provide visibility into Finance, Procurement, Sales, and Marketing performance.Gather, clean, and organize data from internal tools, vendors, and commercial platforms to ensure reliability.Produce actionable analyses that inform financial planning, forecasting, and performance evaluation.Spot patterns, assess risks, and uncover opportunities, then work with teams to translate findings into tangible improvement initiatives (e.g., pricing adjustments, supplier performance optimization, campaign evaluation).Streamline and automate reporting workflows to enhance efficiency and accuracy.Maintain consistency and alignment of key metrics and reporting standards across all departments.RequirementsA Bachelor’s or Master’s in Econometrics, Finance, Data Analytics, Business, or a closely related discipline.At least 2 years of hands-on experience in data analysis, business intelligence, or controlling.Proficiency with BI platforms (such as Power BI, Tableau, or equivalents) and strong skills in Excel or Google Sheets.A solid grasp of financial and business fundamentals, including budgets, forecasts, KPIs, and profit & loss statements.Ideally, familiarity with the main performance drivers in e-commerce or online retail.Strong ability to translate data insights into clear, actionable information for both technical teams and business stakeholders.Preferred:Experience in e-commerce, procurement, or marketing analytics.Familiarity with ERP/finance systems, supplier data, or CRM tools.Skills in SQL, Python, or other programming languages.Working conditions28 vacation days (based on 40 hours per week)Competitive pension schemeFree lunch, drinks, gaming and/or sports challengesFlexible working hoursDiverse and multinational work environmentAn inspiring workplace located in the middle of EindhovenRegular social events to foster team bonding and celebrate achievementsDutch language course to enhance communication and cultural connectionAccess to a platform for professional counselling, mindfulness sessions, and self-help toolsSalary from: €3250,-Salary to: €4200,-Work locationEindhovenCompany descriptionOur client is an exciting and rapidly expanding company specializing in digital solutions. As they continue their journey of growth and innovation, they're seeking individuals eager to be part of their dynamic team.

WorKorner • Eindhoven, Paesi Bassi

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Senior Reliability Engineer (m/f/d)

ResponsibilitiesLead efforts to ensure long-term durability of engine systems and components by evaluating their performance under real-world operating conditions.Analyze and contrast accumulated stress between standard endurance testing and actual machine usage cycles.Provide expertise in Failure Mode and Effects Analysis (FMEA) across engines, subsystems, and individual components.Conduct comprehensive system-level risk assessments to identify potential reliability issues.Configure engine setups and maintain associated data within reliability management tools.Gather and integrate test data from both laboratory environments and field operations into reliability models.Apply and interpret key reliability indicators such as Mean Time Between Failures (MTBF), failure rates, and Weibull distributions.Perform statistical evaluations of machine duty cycles to support reliability predictions.Establish standard operating cycles tailored to specific applications.Contribute to the development of benchmark testing protocols for engine validation.Design or refine analytical models to better predict and understand failure mechanisms.ProfileYou hold a Master’s degree in Mechanical Engineering and have completed studies in probability theory, statistics, data science, and programming You have good knowledge of reliability engineering in the industrial environment You have at least 5 years of experience in Reliability Engineering• You have a very good command of French and German or English (minimum B2 level)• You have advanced knowledge of MS Office, reliability tools (ReliaSoft, nCode), MATLABand PythonBenefitsCompetitive Salary: Compensation aligned with your technical expertise and years of experience.Performance Bonuses: Eligibility for annual or project-based bonuses tied to individual and team achievements.Professional Development: Access to ongoing training in reliability tools, data analysis, and programming (e.g., ReliaSoft, MATLAB, Python).International Exposure: Opportunities to collaborate with global teams or participate in international assignments.

HAYS PLC • Friburgo, Svizzera

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