Leonardo · Roma - Via Laurentina, Italy

Job Description: Leonardo è un gruppo industriale internazionale, tra le principali realtà mondiali nell’Aerospazio, Difesa e Sicurezza che realizza capacità tecnologiche multidominio in ambito Elicotteri, Velivoli, Aerostrutture, Elettronica, Cyber Security e Spazio. Con oltre 60.000 dipendenti nel mondo, l’azienda ha una solida presenza industriale in Italia, Regno Unito, Polonia, Stati Uniti, e opera in 150 paesi anche attraverso aziende controllate, joint venture e partecipazioni. Protagonista dei principali programmi strategici a livello globale, è partner tecnologico e industriale di Governi, Amministrazioni della Difesa, Istituzioni e imprese. All’interno dell’Area Cyber & Security Solutions, stiamo ricercando un/a Data Analyst per le nostre sedi di Roma Laurentina e Catania. La persona si occuperà delle seguenti attività: Analizzare, trasformare e validare grandi volumi di dati. Progettare e sviluppare pipeline di elaborazione dati batch e streaming. Collaborare con i team di Data Engineering per la realizzazione di workflow di ingestione ed elaborazione. Analizzare la qualità dei dati e supportare attività di troubleshooting. Ottimizzare query e processi di elaborazione. Collaborare alla progettazione di modelli dati e Data Lake. Titolo di studio: Laurea STEM Seniority: Expert - Almeno 2 anni di esperienza come Data Analyst, Data Engineer o ruolo equivalente. Conoscenze e competenze tecniche: Ottima conoscenza di SQL . Buona conoscenza di Python . Conoscenza di Scala . Esperienza con almeno parte delle seguenti tecnologie (o equivalenti): Apache Spark Apache Kafka Apache Airflow Object Storage compatibili S3 (MinIO, Ceph, AWS S3, Azure S3 Compatible, ecc.) Apache Trino (o motori SQL distribuiti equivalenti come Presto) Conoscenza dei principali formati dati del mondo Big Data: Parquet Avro Delta Lake Familiarità con ambienti Linux e Git. Requisiti preferenziali Costituiranno titolo preferenziale: Esperienza con framework Java, in particolare Spring Boot . Conoscenza di Kubernetes e container Docker. Esperienza con piattaforme Cloud (AWS, Azure o GCP). Esperienza con sistemi di versionamento dei dati (Iceberg, Hudi o Delta Lake). Conoscenza di strumenti di orchestrazione e monitoraggio. Esperienza con Data Lake e Data Warehouse moderni. Competenze comportamentali: Capacità di analisi e problem solving. Attitudine al lavoro in team. Capacità di confrontarsi con stakeholder tecnici e funzionali. Coinvolgimento, valorizzazione delle competenze , cura del benessere e della sicurezza delle persone sono i cardini della nostra cultura aziendale. Ci impegniamo ogni giorno a favorire un ambiente di lavoro inclusivo e stimolante, promuovendo attivamente i principi di inclusione, equità e valorizzazione delle diversità . Cosa offriamo? Il nostro contratto collettivo del lavoro di riferimento è il CCNL per Industria Metalmeccanica Privata e della Installazione di Impianti; Modalità di lavoro: Ibrida; Categoria contrattuale: Impiegato; Tipologia contrattuale: tempo indeterminato; Tredicesima mensilità; Premialità legata ai risultati di Business; Buoni Welfare dal valore di 250 euro annui; Mensa aziendale; Opportunità di formazione e aggiornamento continuo delle competenze professionali e delle soft skill; Benessere: mettiamo al primo posto il benessere economico, fisico, sociale e psicologico delle nostre persone, offrendo molteplici soluzioni vicine alle loro esigenze. L’azienda si riserva la possibilità di effettuare valutazioni in merito al livello di inquadramento e alla proposta economica, sulla base di criteri oggettivi emersi nel corso del processo di selezione e in coerenza con la seniority del/della candidato/a individuato/a e della posizione, nel rispetto dei principi di equità, trasparenza e pari opportunità previsti dalla normativa vigente. Aspettiamo la tua candidatura : inviaci il tuo CV entro tre settimane dall’apertura dell’annuncio di lavoro. Come funziona il processo di selezione? A seguito della raccolta delle candidature, vengono valutati e identificati i CV maggiormente in linea con i requisiti richiesti. Le/i candidate/i selezionate/i sostengono un colloquio conoscitivo con il team delle Risorse Umane, motivazionale e attitudinale, seguito da un’intervista di approfondimento tecnico con il Business. Al termine del processo, alla persona viene restituito un feedback, sia in caso di esito positivo che negativo. Seniority: Expert Primary Location: IT - Roma - Via Laurentina Additional Locations: IT - Catania Contract Type: Permanent Total Base Pay Range: 33k-47k Hybrid Working: Hybrid

Satispay · Milan, Italy

About us Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world. If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of. What you'll be doing As our Senior Data Engineer, you will shape the evolution of our next-generation data platform, architecting, scaling, and governing an ecosystem that empowers Data Analysts and business teams to autonomously model, analyse, and leverage data safely. Here's what that looks like in practice: - Data Platform Architecture & Evolution - Lead the design and implementation of our modern Data Lakehouse strategy, ensuring seamless integration with Amazon Redshift & Redshift Serverless for high-performance analytics. - Self-Service Enablement & Analytics Engineering - Empower Data Analysts to contribute directly to data modelling, owning the core dbt framework, establishing best practices, CI/CD pipelines, and robust testing frameworks. - Orchestration & Workflow Automation - Build, scale, and maintain reliable orchestration layers using Apache Airflow, optimising complex DAGs for both batch and near-real-time workloads. - ML Platform Ownership & Feature Store Management - Own, architect, and scale Satispay’s Machine Learning Platform, managing our Feature Store, building robust data pipelines for model training/inference, and provisioning collaborative analytics environments. - Streaming & Real-Time Data - Design and operate streaming transformation pipelines (e.g. Apache Flink, Spark Streaming) that power near-real-time analytics and feed the feature store. - AI Tooling & Agentic Engineering - Drive team-wide productivity gains by exploring, integrating, and maintaining AI-assisted development workflows (e.g., leveraging tools like Claude Code and deploying AI agents). - Ingestion & Integration - Supervise managed ingestion workflows (Fivetran) and custom Python pipelines, ensuring cost-efficient, resilient, and reliable data flow across systems. - Performance, Cost & Reliability - Design for performance and cost across the entire platform, owning data quality, observability, and the SLAs your consumers depend on. - Data Governance, Security & Compliance - Design robust data security, access control, and privacy measures across all data assets to ensure strict compliance with financial regulations. - Mentorship & Tech Leadership - Act as a technical mentor for junior/mid-level engineers, champion documentation, and establish engineering standards that elevate team capabilities. Who we're looking for This role needs someone who is a problem-solver, loves teamwork, and gets things done with high curiosity and readiness for real ownership. - Relevant education and technical background - Degree in Computer Science, Engineering, or a related field, backed by 5+ years of hands-on experience designing, scaling, and maintaining complex enterprise data platform architectures. - Programming Expertise - Highly skilled in SQL for data manipulation and analysis, with practical experience in Python, Java, or Scala for building robust data pipelines. - Architectural Knowledge - Familiarity with both batch and real-time streaming data architectures and principles for designing scalable and resilient systems. - Data-Oriented Mindset - Strong passion for deeply understanding data, its meaning, the importance of correct preparation, and methodologies for quality and consistency. - Platform & Mesh Mindset - Understanding of how to transition from centralised data delivery to a platform model with guardrails for self-service analytics. - Forward-Thinking & AI Curious - Excited about the intersection of data engineering and AI, with interest in LLMs and integrating AI coding assistants into development. - Structured communication and stakeholder management - Clear and persuasive communication skills, adapting your approach to build trust across technical and business teams. - Language proficiency - Fluent in both Italian and English for seamless communication across an international team. - Passion for FinTech or Startup environments - Genuine passion for fast-paced FinTech/startup ecosystems. Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply. CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: - ❤️ Health: private insurance for you and your family, psychological support with Serenis, mental health workshops. - 💰 Financial resources: Stock Option Plan, meal vouchers, relocation support if you’re moving countries. - ⚙️ Growth and development: professional development programs, internal mobility, language courses with Preply. - 🌱 Flexibility: unlimited PTO, hybrid working policy*, flexible working hours. *We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. Salary: €51,000 - €66,500 gross per annum. This range is set using objective, gender-neutral criteria for the role's core requirements. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value. Equal opportunity employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! Learn more about us Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here https://www.satispay.com/en-it/work-at-satispay/. #LI-HYBRID #LI-VR1 By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy https://www.satispay.com/en-it/legal-hub/privacy-policy/candidates/