2 655 Posti di lavoro per Big Data Engineer in Italia

About us

Onetag AI-powered programmatic curation technology delivers effective digital advertising for the open internet. We provide the easy way to better media performance.

Our AI feeds your DSP with curated, high performing inventory based on media quality data without cookies. We filter out all the wastage to deliver only viewable and uncluttered inventory, contextual relevance and engaged users.

Headquartered in Italy, Onetag is driving growth across the US, UK, Europe and rest of the world, with a diverse, friendly and focused team.

About the Junior Big Data Engineer Role

We’re looking for a Junior Big Data Engineer to join our growing Big Data team in Pisa. You’ll play a key role in managing and evolving our AWS-based data infrastructure, which ingests, processes, and stores terabytes of data daily to power real-time analytics and cutting-edge machine learning algorithms.

You’ll work side by side with Data Engineers and Data Scientists, contributing to automation, ETL development, infrastructure optimization, and deployment of scalable solutions for our programmatic advertising platform.

What You'll Do

• Operate and evolve our big data stack on AWS (including MSK, EMR, Kinesis, Glue, and MWAA)
• Design, implement, and optimize ETL pipelines for large-scale data processing
• Collaborate with the Data Science team to prepare and manage datasets for model training and deployment
• Automate existing workflows and contribute to infrastructure-as-code practices
• Support the deployment of internal tools and applications in the cloud
• Participate in R&D activities:
  evaluating new tools, improving system performance, and ensuring scalability

What We're Looking For

• Knowledge of AWS data services:
  MSK (Kafka:
  message broker), EMR (Spark/Flink), Glue, Kinesis, MWAA (Airflow)
• Basic understanding of cloud environments (preferably AWS)
• Basic experience with infrastructure-as-code tools (e.G., Terraform, AWS CDK, or CloudFormation)
• Strong interest in big data processing and scalable architecture
• Collaborative mindset, problem- solving oriented and willingness to learn in a fast-paced environment

Nice to Have

• Hands-on experience with Kubernetes (EKS or similar)
• AWS certification (Cloud Practitioner or Associate level)
• Exposure to streaming frameworks (Flink, Spark Streaming)
• Awareness of cloud security best practices

Why Join Us

• Be part of a product-driven AdTech company making a global impact in programmatic advertising
• Work with a modern, high-volume data stack in a collaborative and innovative environment
• Grow your skills through hands-on experience with AWS and machine learning infrastructure
• Engage in daily learning through research, experimentation, and cross-functional teamwork

What you will get:

• Flexible and hybrid working options (2 days in office + 3 days working from home)
• Ticket restaurants of 10 euro/day
• A supportive and collaborative working environment
• The opportunity to start your career in a dynamic, globally connected company, gaining hands-on experience and growing within an international environment

Onetag is proud to be an equal opportunity workplace:
we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know.

If Onetag sounds like your ideal company, we'd love to hear from you!

Recruitment and Selection Privacy:
Notice

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Amazon Retail Financial Intelligence Systems is seeking a seasoned and talented Senior Data Engineer to join the Fortune Platform team. Fortune is a fast growing team with a mandate to build tools to automate profit-and-loss forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You should be passionate about working with big data and are able to learn new technologies rapidly and evaluate them critically. You should have excellent communication skills and be able to work with business owners to translate business requirements into system solutions. You are a self-starter, comfortable with ambiguity, and working in a fast-paced and ever-changing environment. Ideally, you are also experienced with at least one of the programming languages such as Java, C++, Spark/Scala, Python, etc.

Major Responsibilities:
- Work with a team of product and program managers, engineering leaders, and business leaders to build data architectures and platforms to support business
- Design, develop, and operate high-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms
- Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation
- Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture
- Design, build and own all the components of a high-volume data warehouse end to end.
- Provide end-to-end data engineering support for project lifecycle execution (design, execution and risk assessment)
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
- Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources
- Own the functional and nonfunctional scaling of software systems in your ownership area.
- Implement big data solutions for distributed computing.



Key job responsibilities
As a DE on our team, you will be responsible for leading the data modelling, database design, and launch of some of the core data pipelines. You will have significant influence on our overall strategy by helping define the data model, drive the database design, and spearhead the best practices to delivery high quality products.

About the team
Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer. Profit Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day?

We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks.

We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining.

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Company Description

We are a Digital Product Engineering company that is scaling rapidly! We build products, services, and experiences that inspire, excite, and delight. Our work spans across all devices and digital mediums, with a global presence of over 19,000 experts in 33 countries. Our culture is dynamic and non-hierarchical. We are looking for talented new colleagues. That is where you come in!

Job Description

The ideal candidate will have extensive experience in data engineering, AWS cloud services, platform engineering, and database management, including Azure Storage Services. This role focuses on integrating banking applications with a metering platform, which provides a standardized way for applications to emit business and analytical events across all MA applications and services. Responsibilities include understanding the technical aspects of the metering platform, engaging with banking application owners to understand their use cases, and providing technical guidance and solutions for integration. Experience with data analytics and reporting is essential.

Key Responsibilities:

1. Integrate banking applications with the metering platform, ensuring seamless data flow and accurate tracking of business metrics.
2. Engage with banking application owners to gather requirements and deliver integration solutions.
3. Manage and optimize integration of Azure Blob Storage with banking applications.
4. Support data analytics and reporting initiatives.
5. Implement best practices for data governance, quality, and security during integration.
6. Automate platform operations and deployments using Infrastructure as Code tools such as Terraform or CloudFormation.
7. Monitor, troubleshoot, and resolve issues in data workflows and infrastructure.
8. Collaborate with the metering team on feature development.
9. Document solutions and mentor team members as needed.

Required Skills & Experience:

1. 5+ years in data engineering and platform engineering roles.
2. Expertise in AWS Data services (e.g., S3, Lambda, Glue, Redshift) and core AWS services like IAM, EC2, RDS.
3. Experience with Azure data services, especially Azure Blob Storage.
4. Proficiency in SQL, Python, and ETL orchestration tools.
5. Experience with Java and C#.
6. Knowledge of database design, optimization, and management (SQL and NoSQL).
7. Understanding of data analytics, reporting, and BI concepts.
8. Experience integrating applications with metering or billing platforms is highly desirable.
9. Familiarity with DevOps practices and CI/CD pipelines.
10. Excellent problem-solving, communication, and stakeholder engagement skills.

Qualifications:

• Experience in banking or financial services sectors.
• Knowledge of data security, compliance, and governance frameworks.
• Experience working as a contractor or consultant.

Must-have Skills: Metering

Good-to-have Skills: ETL Load Orchestration (Strong), C# (Strong)

Join to apply for the Senior Backend Engineer (NodeJS/Big data) role at YouNet Media

5 days ago Be among the first 25 applicants

Join to apply for the Senior Backend Engineer (NodeJS/Big data) role at YouNet Media

Job Description

Job Description

YouNet Media is a member of YouNet Group - the leading SocialTech Group creating value for enterprises by applying Social Technologies in a variety of business areas including sales, marketing, and operations.

YouNet Media is the leading Social Media Analytics Platform and Services company owing the No1. Social Suite in market: Social Listening, Social Influencer, Social Trends, etc.

We are looking for a Senior Backend Engineer who will join our team to make the great products to market.

Role & Responsibilities

• Design and develop a platform which collects billions of data from social channels every month
• Participate to all phases in product development process including analyzing user requirements, designing system architecture, coding, testing and deployment
• Work with BA and Technical Lead for Social Listening product development
• Coach junior developers in technology and quality control
  
  

• Can be promoted to Principal Engineer, Technical Architect (Technical roadmap).
• Can be promoted to Data Leader, Product Manager (Management roadmap).
  
  

• 4+ years experience working with backend services, 2+ years of experience developing in NodeJS and relevant frameworks.
• Experiencing with crawling a big amount of data from multiple sources like Facebook, Youtube, Instagram, online news articles is a plus.
• Strong OOP and coding principles, good knowledge about design patterns and architectural patterns
• Excellent experience in designing and implementing database systems with integrity, scalability, performance, reliability, security in mind.
• Experience with full-text search engines, such as Solr or ElasticSearch is a plus.
• Experience using message queues such as RabbitMQ, Kafka.
• Experience with using Redis.
• Strong experiences working with MySQL / NonSQL.
• Good knowledge of the Linux environment.
  
  

• Applicants must hold a university degree in computer science, information and communications technology or software engineering with an excellent, very good or good rank.
• Previous experience with project management and/or supervisor-type jobs (team leaders, technical assistants, etc.) is an advantage.
• Previous experience in development tools such as Jira, Wiki, etc. is an advantage.
  
  

• 13th month salary
• Premium healthcare insurance
• 12 days of annual leave & 5 days of sick leave
• Performance appraisals and promotion every year
• Standard health check
• Company trip, Year end party, Team building & Happy hours,.
• Occasion-based offerings: Birthday, wedding, maternity,…
• Parking support
• Equipment for work (PC / laptop)
  
  

• Bạn biết tin tuyển dụng này thông qua nguồn nào? --websitelinkedinpostfanpagefacebookpostadjobadvertisingvnbrandsvnyboxreferralemailothers
• More information
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at YouNet Media by 2x

Get notified about new Back End Developer jobs in Lu, Piedmont, Italy .

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Join to apply for the Senior Backend Engineer (NodeJS/Big data) role at YouNet Media

5 days ago Be among the first 25 applicants

Join to apply for the Senior Backend Engineer (NodeJS/Big data) role at YouNet Media

Job Description

Job Description

YouNet Media is a member of YouNet Group - the leading SocialTech Group creating value for enterprises by applying Social Technologies in a variety of business areas including sales, marketing, and operations.

YouNet Media is the leading Social Media Analytics Platform and Services company owing the No1. Social Suite in market: Social Listening, Social Influencer, Social Trends, etc.

We are looking for a Senior Backend Engineer who will join our team to make the great products to market.

Role & Responsibilities

• Design and develop a platform which collects billions of data from social channels every month
• Participate to all phases in product development process including analyzing user requirements, designing system architecture, coding, testing and deployment
• Work with BA and Technical Lead for Social Listening product development
• Coach junior developers in technology and quality control
  
  

• Can be promoted to Principal Engineer, Technical Architect (Technical roadmap).
• Can be promoted to Data Leader, Product Manager (Management roadmap).
  
  

• 4+ years experience working with backend services, 2+ years of experience developing in NodeJS and relevant frameworks.
• Experiencing with crawling a big amount of data from multiple sources like Facebook, Youtube, Instagram, online news articles is a plus.
• Strong OOP and coding principles, good knowledge about design patterns and architectural patterns
• Excellent experience in designing and implementing database systems with integrity, scalability, performance, reliability, security in mind.
• Experience with full-text search engines, such as Solr or ElasticSearch is a plus.
• Experience using message queues such as RabbitMQ, Kafka.
• Experience with using Redis.
• Strong experiences working with MySQL / NonSQL.
• Good knowledge of the Linux environment.
  
  

• Applicants must hold a university degree in computer science, information and communications technology or software engineering with an excellent, very good or good rank.
• Previous experience with project management and/or supervisor-type jobs (team leaders, technical assistants, etc.) is an advantage.
• Previous experience in development tools such as Jira, Wiki, etc. is an advantage.
  
  

• 13th month salary
• Premium healthcare insurance
• 12 days of annual leave & 5 days of sick leave
• Performance appraisals and promotion every year
• Standard health check
• Company trip, Year end party, Team building & Happy hours,.
• Occasion-based offerings: Birthday, wedding, maternity,…
• Parking support
• Equipment for work (PC / laptop)
  
  

• Bạn biết tin tuyển dụng này thông qua nguồn nào? --websitelinkedinpostfanpagefacebookpostadjobadvertisingvnbrandsvnyboxreferralemailothers
• More information
  
  

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionEngineering and Information Technology
• IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at YouNet Media by 2x

Get notified about new Back End Developer jobs in Lu, Piedmont, Italy .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Data Engineer - End User – Hybrid Working

• Realtà di Prodotto Multinazionale con oltre 3500 risorse è alla ricerca di un Data Engineer;
• Modalità ibrida e flessibile: 3 giorni a settimana da remoto garantiti;
• Sede di lavoro: Milano;
• Budget: 45K + bonus.

Il candidato selezionato entrerà a far parte di un team dedicato a un progetto strategico aziendale: la realizzazione di un nuovo Data Warehouse su piattaforma Cloud. La figura lavorerà in stretta collaborazione con un team interno multidisciplinare e con partner esterni, occupandosi di progettare, sviluppare e, in seguito, mantenere l'infrastruttura dati necessaria per le attività di analisi aziendale.

Responsabilità

• Sviluppare e gestire Data Warehouse performanti e scalabili.
• Progettare, implementare e ottimizzare pipeline di dati ETL (Extract, Transform, Load).
• Assicurare la qualità, la sicurezza e la conformità dei dati.
• Automatizzare i processi di data engineering per ottimizzare efficienza e resilienza.
• Collaborare con data scientist e analisti per soddisfare le loro necessità di dati.
• Monitorare le ultime innovazioni e tendenze nel settore del data engineering.
• Produrre e documentare codice chiaro, efficiente e manutenibile.
• Supportare il senior management nella risoluzione di problematiche attraverso la raccolta e analisi di dati complessi.
• Eseguire analisi avanzate per comprendere e affrontare problematiche specifiche.
• Mappare logiche aziendali, processi e relativi modelli.

Requisiti

• Laurea in Informatica, Ingegneria Informatica o disciplina equivalente.
• Almeno 3 anni di esperienza come Data Engineer o ruolo analogo.
• Competenza in linguaggi di programmazione come Python, Java o Scala.
• Esperienza con database relazionali e non relazionali (es. MySQL, PostgreSQL, Hadoop, SQLServer).
• Familiarità con strumenti come Confluent, BigQuery e piattaforme Google Cloud.
• Conoscenza dei principi di sicurezza e governance dei dati.

Requisiti Preferenziali

• Conoscenza di strumenti di reporting come Tableau, Power BI o Looker.
• Esperienza con strumenti di data engineering come Apache Spark, Airflow o AWS Glue.

Cosa si offre

• Un ambiente di lavoro giovane, dinamico e collaborativo.
• Colleghi appassionati con cui condividere e accrescere le competenze.
• Possibilità di giocare un ruolo chiave in un progetto rilevante nel campo dei dati.
• Riconoscimento del merito, indipendentemente dall’anzianità.
• Flessibilità lavorativa, smart working e vantaggi di welfare.
• Feedback periodici per lo sviluppo professionale e il miglioramento delle performance.
• Momenti dedicati alla socializzazione e celebrazione dei successi.
• Iniziative di formazione e condivisione di competenze.
• Opportunità di collaborazione con team internazionali su progetti specifici.

ESIS S.r.l., società di Consulenza Informatica e Sviluppo Software attiva dal 1989, ricerca:

Data Engineer

ATTIVITÀ

Il candidato selezionato dovrà seguire gli standard di qualità definiti relativi al codice e ai sistemi, sviluppare test automatizzati ed eseguire l'ottimizzazione delle prestazioni.

SEDE

Bologna.

REQUISITI

• Diploma/Laurea in Ingegneria Informatica o settore affine
• Aver maturato almeno 3 anni di esperienza di lavoro con Microsoft Azure
• Aver maturato almeno 3 anni di esperienza di lavoro con Python
• Buona conoscenza di database relazionali (PostgreSQL, MySQL, Oracle) e NoSQL (MongoDB, Redis)
• Avanzate capacità di redazione e di comprensione delle query
• Buona conoscenza della lingua inglese
• Disponibilità immediata o a breve termine

COMPLETANO IL PROFILO

• Autonomia operativa e capacità di problem solving;

• Attitudine al team working e alla gestione dei contatti con il cliente;

• Flessibilità e capacità di adattamento.

OFFERTA

Offriamo contratti di assunzione (Tempo Determinato e Indeterminato) e una retribuzione commisurata alle esperienze e alle competenze del Candidato e in linea con il mercato del lavoro.

Non escludiamo la collaborazione con liberi professionisti dotati di Partita IVA.

CANDIDATURA

Cogliete l’opportunità e candidatevi a quest’annuncio inviando un’e-mail a , allegando il vostro CV completo e aggiornato.

PRIVACY

I dati personali saranno trattati nella massima riservatezza, ai sensi del D. Lgs. 196/2003 e successive modifiche, nonché in conformità alle disposizioni del Regolamento UE 2016/679 (GDPR).

PARI OPPORTUNITÀ

Il presente annuncio è rivolto a candidati di entrambi i sessi, ai sensi delle Leggi 903/77 e 125/91, e a persone di tutte le età e nazionalità, ai sensi dei D. Lgs. 215/03 e 216/03.

CHI SIAMO

Nata come software house, ESIS S.r.l. si è affermata negli anni come un’affidabile società di consulenza IT a 360°, offrendo soluzioni innovative e di alta qualità nei seguenti ambiti:

• Realizzazione di soluzioni di system integration;

• Sviluppo, customizzazione e gestione di prodotti software;

• Erogazione di servizi di consulenza specialistica;

• Sviluppo di web e mobile application;

• Formazione a catalogo e on-demand.

LINK

Per maggiori informazioni, vi invitiamo a visitare:

· Il nostro Sito Web:

· La nostra Pagina Aziendale su LinkedIn:

Alkemy è una società internazionale specializzata nell’evoluzione del modello di business di grandi e medie aziende e una public company quotata sul mercato MTA STAR di Borsa Italiana.

La nostra mission è di migliorare la posizione di mercato e la competitività delle grandi e medie aziende stimolando l’evoluzione del modello di business in coerenza con l’innovazione tecnologica e i comportamenti dei consumatori. Grazie a un team di oltre 1000 persone, integriamo competenze nelle aree di Strategy, Communication, Design, Performance, Technology, Insights & Analytics con un’offerta, pensata per il contesto post-digital, che copre l’intera catena del valore dalla strategia all’implementazione.

IL RUOLO

Per il potenziamento dell’area di Data & Analytics (former Nunatac SpA), Alkemy è alla ricerca di un Data Engineer.

Una delle verticali di Alkemy è l’area Data & Analytics (precedentemente Nunatac Srl). La Mission di questa area è di accompagnare le aziende nel loro percorso di crescita, aiutandole a fondare la propria strategia sui dati e sulla conoscenza che da essi deriva. È composta da Data Scientists e Data Engineers che formano un team dinamico, informale e rigoroso al lavoro su applicazioni di Advanced Analytics innovative e di valore.

Lavorare nell’area Data & Analytics significa affrontare tutte le sfide legate all'uso di metodi quantitativi, dalle tecniche statistiche consolidate agli approcci pionieristici di Machine Learning e Deep Learning applicati ai Big Data, per ottenere un impatto reale sul business dei nostri clienti. Siamo in continua crescita e cerchiamo nuove persone che sappiano combinare le competenze tecniche con la visione, l'intraprendenza e la passione per i dati.

Sede di lavoro: Milano

Esperienza: 4/5 anni in ambito Data Engineering

Area: Data & Analytics

REQUISITI

• Laurea in ambito scientifico: Informatica, Ingegneria informatica, Matematica, Fisica, Statistica
• Esperienza professionale di almeno 4/5 anni in ambito Data Engineering
• Ottima conoscenza dei linguaggi SAS e Python
• Ottima conoscenza di SQL
• Esperienza nella relazione con il Cliente per la raccolta di requisiti, la finalizzazione dell’analisi funzionale e la redazione di documenti tecnici
• Esperienza nella progettazione e sviluppo di ambienti dati per attività di Data Science: capacità di definizione dei modelli concettuale, logico e fisico, definizione della fase di test, sviluppo delle procedure di alimentazione e popolamento dell’ambiente dati
• Interesse anche in ambito di data visualization e data science, gradita la capacità di sviluppare sistemi di reporting aziendale
• Ottima conoscenza della lingua inglese
• Propensione all’innovazione
• Attitudine al lavoro di gruppo

COSA OFFRIAMO

In Alkemy ci impegniamo costantemente nel creare le migliori condizioni affinché tutte le nostre persone sentano di poter esprimere al meglio il proprio valore ed il proprio talento - e possano sentire Alkemy come casa propria - indipendentemente da genere, età, nazionalità, orientamento sessuale e religioso.

Siamo da sempre profondamente convinti che un ambiente di lavoro inclusivo che valorizzi tutte le diversità sia non solo un imperativo valoriale, ma un fattore critico di successo per il nostro business. Aggreghiamo sotto lo stesso tetto persone con professionalità e background molto diversi e da sempre promuoviamo una cultura di condivisione e crescita continua.

Eccellenza, Passione, Integrità e Concretezza sono i valori fondanti di Alkemy, che tutti noi condividiamo e che ci guidano nel realizzare la nostra mission. I valori Alkemy definiscono la nostra identità e sono alla base della nostra cultura organizzativa, indirizzano i nostri comportamenti nei confronti di tutte le nostre persone e dei nostri clienti, costruendo evolutivamente il nostro approccio al business.

I profili ritenuti in linea verranno contattati entro 20 giorni. Non saranno valutate candidature sprovviste di cv completo allegato. I dati dei candidati verranno trattati ai sensi dell’Informativa Privacy sempre consultabile sul nostro sito.alkemy.com

CHI SIAMO

AGAP2 è una multinazionale europea di consulenza ingegneristica e informatica facente parte del Gruppo MoOngy.

Presente in 14 paesi europei con oltre 10.000 dipendenti, abbiamo aperto, da quattro anni, la prima sede italiana a Milano e, vista la continua crescita, stiamo rafforzando e ampliando il nostro team con persone che condividano gli stessi valori della nostra società: AMBIZIONE, SORRISO, DINAMISMO, VOGLIA DI METTERSI IN GIOCO, il tutto in una realtà in continua evoluzione, nella quale le relazioni umane sono sempre al primo posto.

Il tuo ruolo :

Cerchiamo un/una Data Engineer con esperienza da Data Architect, che guiderà la costruzione e l’evoluzione dei flussi e modelli dati aziendali, lavorando su piattaforme cloud e strumenti all’avanguardia come Databricks.

Responsabilità principali:

• Progettazione e gestione di pipeline ETL/ELT su ambienti cloud (preferibilmente AWS)
• Modellazione di data architecture scalabili e sicure
• Utilizzo di Databricks per l’elaborazione e l’integrazione dati
• Integrazione di fonti dati eterogenee (ERP, CRM, sensori IoT, file di processo, ecc.)
• Collaborazione con stakeholder tecnici e di business per definire requisiti
• Supporto all’implementazione di logiche di Data Governance (plus)
• Sviluppo e pubblicazione di dataset per la reportistica aziendale in Power BI (plus)

Responsabilità principali:

• Laurea in Ingegneria Informatica, Statistica, Data Science o simili
• Esperienza di almeno 2 anni in ruolo Data Engineer / Data Architect
• Conoscenza di ambienti cloud (AWS preferito)
• Esperienza con Databricks, SQL e linguaggi come Python / PySpark
• Solida capacità di modellare dati (star schema, data vault, etc.)

Offriamo:

- Opportunità di sviluppo professionale in un ambiente stimolante.

- Progetti di automazione industriale innovativi e diversificati.

- Pacchetto retributivo competitivo e benefici.

- Inserimento diretto.

- Formazione continua e trasversale.

- Sviluppo professionale all'interno di un contesto tecnologico stimolante e dinamico.

Se sei interessato/a a far parte del nostro team dinamico e innovativo, non esitare a candidarti inviando il tuo CV aggiornato.

The world needs you

AGAP2 è un equal opportunities employer: crediamo che tutte le forme di diversità siano fonte di arricchimento reciproco. Ci impegniamo a garantire un ambiente di lavoro inclusivo, nel quale ogni singola risorsa possa apportare un valore unico alla nostra realtà. Pertanto, accogliamo candidature senza distinzione di età, genere, nazionalità, disabilità, orientamento sessuale, religione o stato civile.

Inoltre, teniamo fede ai nostri impegni prestando attenzione alle risorse appartenenti alle categorie protette ai sensi degli articoli 1 e 18 della Legge 68/99.

• I dati personali saranno trattati in conformità alle disposizioni contenute nel regolamento UE 2016/679.