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Data Engineer

Data Engineer

Capco

Milansenior

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Описание вакансии

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.
About Capco
Capco is a global technology and business consultancy, focused on the financial services sector. We are growing at fast pace in our Italian office, the opportunity for growth is large, accessible, and immediate. We are passionate about helping our clients succeed in an ever-changing industry. Capco is going through a significant growth journey, now is a very good time to join us as we expand our consulting team in Italy.

Role Description
As part of the consulting team, the Data Engineer will:

  • Interact with Cloud infrastructures, integrating multiple Cloud tools, and understanding their dependencies and limitations
  • Design, develop, and manage data pipelines and data integration processes for Financial Services clients
  • Support the implementation and maintenance of scalable data architectures to ensure data quality, consistency, and reliability
  • Collect, process, and transform large volumes of structured and unstructured data from multiple sources
  • Collaborate with technical and business stakeholders to translate business requirements into data-driven solutions
  • Contribute to the optimization and automation of data workflows and ETL/ELT processes
  • Monitor and troubleshoot data pipelines, ensuring performance, accuracy, and operational efficiency
  • Support data governance and data quality initiatives, ensuring compliance with internal standards and regulatory requirements
  • Prepare datasets and support reporting and analytics activities to enable business decision-making
  • Work closely with cross-functional teams in dynamic and client-oriented environments
  • Contribute to continuous improvement initiatives and innovation projects within the data and analytics domain

Skills And Experience
To qualify for the role you must have:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related fields
  • 2–5 years of experience in Data Engineering, Data Management, or Data & Analytics environments
  • Experience in designing and managing data pipelines and ETL/ELT processes
  • Knowledge of relational databases and SQL querying
  • Familiarity with data warehousing concepts and data modeling techniques
  • Experience working with cloud platforms and modern data architectures
  • Strong analytical and problem-solving skills
  • Ability to work effectively with both technical and business stakeholders
  • Proficiency in Microsoft Office 365 tools
  • Good knowledge of English, both written and spoke

Nice To Have

  • Previous experience in Financial Services or consulting environments
  • Knowledge of big data technologies and distributed data processing frameworks
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with data visualization and reporting tools (e.g. Power BI, Tableau)
  • Experience with PySpark, Databricks, DataFactory
  • Understanding of data governance and data quality frameworks
  • Relevant certifications in cloud or data technologies

Why join Capco?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

  • Comprehensive health benefit coverage
  • Meal Vouchers
  • Welfare allowance
  • Access to internal and Tier 1 learning platforms

In Capco You Will Also Find

  • A work culture focused on innovation and building lasting value for our clients and employees
  • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
  • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  • A diverse, inclusive, meritocratic culture

Pay Transparency
Capco is committed to providing fair and equitable compensation to our people. Our compensation policies are designed to allow our people to progress through our defined salary range over time as they progress in their role.

The minimum gross annual base salary for this position is from €29.000. The final offer could be higher to reflect the candidate’s experience, skills, and overall fit for the role.
Additionally, this position may also be eligible to receive a discretionary/variable bonus payment.

Location:
Piazza Gae Aulenti 1, Milano (Garibaldi FS - Garibaldi M2 M5)

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Senior Data Architect

Cerved

San Donato Milanesesenior

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Описание вакансии

Cerved è la tech company italiana che, grazie a segnali predittivi unici e a un patrimonio esclusivo di dati e analytics, supporta la crescita sostenibile, la gestione del rischio e la trasformazione digitale di imprese e istituzioni.

Con Cerved Rating Agency, elaboriamo valutazioni sul merito di credito, rating ESG e analisi sulle emissioni di debito.

Dal 2021 Cerved è parte di ION Group, uno dei più grandi operatori FinTech internazionali.

Per potenziare il Team
Data Architecture
, siamo alla ricerca di un profilo di
Senior Data Architect
che avrà la responsabilità di progettare e governare l'architettura dati aziendale, contribuendo alla costruzione di una piattaforma dati moderna, scalabile e orientata al dato come asset strategico.

Principali responsabilità

  • Progettare e mantenere l’architettura della piattaforma dati (Data Lake, Data Warehouse, Lakehouse) su AWS e Databricks;
  • Definire standard, best practice e linee guida architetturali per la gestione e la governance del dato (data modeling, data lineage, data quality, data catalog);
  • Disegnare e supervisionare pipeline di ingestione, trasformazione e distribuzione dei dati utilizzando Apache Spark, Databricks e servizi AWS;
  • Guidare la scelta delle tecnologie e dei pattern architetturali (batch, streaming, lambda/kappa architecture, medallion architecture) in base ai requisiti di business;
  • Sviluppare componenti e prototipi in Java e Python per validare soluzioni architetturali e accelerare l’adozione di nuovi pattern;
  • Collaborare con i team di Data Engineering, Data Science, BI e Product per garantire coerenza architetturale e qualità dei dati end-to-end;
  • Presidiare aspetti di sicurezza, compliance e data governance (GDPR, controllo degli accessi, cifratura, auditing) all’interno della piattaforma dati;
  • Valutare e introdurre nuove tecnologie e framework del panorama dati (Apache Iceberg, Delta Lake, dbt, Apache Kafka, Flink) in ottica di miglioramento continuo;
  • Collaborare con i team di Data Science e AI/ML per progettare infrastrutture dati a supporto di modelli di Machine Learning e soluzioni di Intelligenza Artificiale Generativa (Feature Store, model serving, RAG pipeline, LLMOps);
  • Supportare l’adozione di servizi AWS AI/ML garantendo la disponibilità e la qualità dei dati necessari all’addestramento e all’inferenza dei modelli.

Requisiti

  • Laurea in Informatica, Ingegneria Informatica, Matematica o discipline affini; certificazioni AWS (es. AWS Solutions Architect, AWS Data Analytics) o Databricks sono considerate un plus;
  • Esperienza di almeno 3-5 anni in ambito architettura dati, data engineering o ruoli analoghi;
  • Solida conoscenza di Apache Spark e Databricks (Spark SQL, Structured Streaming, Delta Lake, Unity Catalog);
  • Competenze avanzate in Python e/o Java per lo sviluppo di pipeline dati e componenti di integrazione;
  • Esperienza concreta con i principali servizi AWS per i dati S3, Glue, Athena, Redshift, EMR, Kinesis, Lake Formation, Step Functions, IAM;
  • Conoscenza approfondita dei paradigmi di data modeling (relazionale, dimensionale, Data Vault) e dei formati di storage columnar (Parquet, ORC, Iceberg, Delta);
  • Familiarità con strumenti di orchestrazione (Apache Airflow, Databricks Workflows) e di trasformazione dati (dbt);
  • Conoscenza dei principi di data governance, data quality e metadata management; gradita esperienza con soluzioni di data catalog (es. Apache Atlas, AWS Glue Data Catalog, Databricks Unity Catalog);
  • Comprensione delle architetture streaming (Apache Kafka, Kinesis Data Streams) e dei relativi pattern di integrazione;
  • Capacità di lavorare in ambienti Agile/DevOps; conoscenza di IaC (Terraform, CloudFormation) e CI/CD per pipeline dati costituisce un plus;
  • Ottime capacità comunicative e relazionali, con attitudine al problem solving, alla collaborazione cross-funzionale e alla condivisione della conoscenza tecnica;
  • Conoscenza dei principali paradigmi e tecnologie di AI/ML applicati ai dati MLflow, SageMaker, Databricks MLflow/AutoML, Vector Database (es. Pinecone, OpenSearch, pgvector) e architetture per Generative AI (RAG, embedding pipeline, LLM fine-tuning);
  • Familiarità con il ciclo di vita end-to-end dei modelli ML (MLOps/LLMOps) versionamento dei dati e dei modelli, feature engineering, monitoraggio del modello in produzione e data drift detection.

Sede di lavoro Milano, Mangone (CS), Padova, Roma

Modalità di lavoro Ibrida

La posizione è inquadrata al 1 Livello , secondo il CCNL Terziario, Distribuzione e Servizi (Commercio) e il range retributivo iniziale previsto è compreso tra Euro 50.000 ed Euro 65.000. L'esatta attribuzione all'interno della fascia retributiva sarà determinata sulla base di criteri oggettivi, trasparenti e neutrali sotto il profilo del genere (nel rispetto della normativa vigente).

Cerved Group garantisce (ai sensi del D.Lgs 198/2006, D.Lgs.215/2003 e D.Lgs.216/2003) pari opportunità di accesso al lavoro a tutt* i/le candidat* e si impegna a favorire il rispetto delle diversità e l’inclusione sul posto di lavoro.

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

AWS - Data Architect

NTT DATA Europe & Latam

Milansenior

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Описание вакансии

Your role as an AWS Data Architect in NTT Data will be supporting customers in AWS Data Platform projects, working in partnership with business analysts and solution architects to understand use cases, data needs, and outcome objectives.

We are looking for an engineer that can be the bridge between Data Science and Data Engineering, having a clear understanding of both worlds.

Your Contribution In This Role

  • Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (such as GLUE, Lambda) or using data management technologies (such as Talend or Informatica)
  • Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3
  • Design operations architecture and conduct performance engineering for large scale data lakes in production environment
  • Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
  • Mentor other engineers in coding best practices and problem solving

The ideal profile

  • Working experience in a cloud native environment in one of the 3 major public clouds (GCP, AWS, Azure), at least 5 year experience on AWS is preferred
  • Experience and knowledge of Big Data Architectures, cloud and on premise
  • AWS infrastructure and networking working experience
  • AWS Collection Services: Kinesis, Kafka, Database Migration Serviceù
  • AWS main Storage Service: S3, RDS, Redshift, DynamoDB
  • AWS main Compute Service: EC2, Lambda, ECS, EKS
  • Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
  • Working experience in migrating workloads from on premise to cloud environment
  • Experience in monitoring distributed infrastructure, using AWS tools or open source ones Experience in monitoring distributed infrastructure, using AWS tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
  • Proven experience in: Java, Scala, Python, and shell scripting
  • Working experience with: Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure related ETL/ELT tools
  • AWS Certification: AWS Certified Solutions Architect and/or AWS Certified Data Analytics
  • Working experience with Agile Methodology and Kanban
  • SQL language knowledge
  • Experience working with source code management tools such as AWS CodeCommit or GitHub

Location:
Bologna, Roma, Milano, Torino, Bari, Cosenza, Napoli, Treviso, Pisa e Salerno

Build your future with NTT DATA.
Join a global company, a leader in business and technology services, that listens to your voice and recognizes the value of your work. You will collaborate with clients, partners, and colleagues from all over the world to create innovative solutions capable of making a real impact on society.

Here, you will have the opportunity to develop new skills and expand your network.

We are present in Italy with over 6,000 employees across our offices in Milan, Rome, Turin, Genoa, Bologna, Treviso, Pisa, Padua, Naples, Cosenza, Bari, and Salerno.

Make this the place where you grow.

Join us!

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Master Data Architect AWS

NTT DATA Europe & Latam

Milansenior

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Описание вакансии

Data & Intelligence Business Line NTT DATA is looking for a Master Data Architect AWS.

Your Contribution In This Role

  • Manage Key Clients
  • Manage the relationships with AWS
  • Manage the AWS Center of Excellence
  • Lead Data&Analytics AWS projects
  • Support Recruitment
  • Support Value Proposition
  • Support Development of skills and capabilities, such as:
  • Design Data Platform on AWS data store such Redshift, DynamoDB, RDS, S3
  • Design operations architecture and conduct performance engineering for large scale data lakes in production environment
  • Apply the Well-architected framework to the solution design and implementation
  • Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (such as GLUE, Lambda) or using data management technologies (such as Talend or Informatica)
  • Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
  • Mentor other engineers in coding best practices and problem solving

The ideal profile

  • Proven experience in the field of data analytics, preferably from Consulting companies
  • Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level
  • Working experience in AWS cloud native environment
  • Experience and knowledge of Big Data Architectures, cloud and on premise
  • AWS infrastructure and networking working experience
  • AWS Collection Services: Kinesis, Kafka, Database Migration Service
  • AWS main Storage Service: S3, RDS, Redshift, DynamoDB
  • AWS main Compute Service: EC2, Lambda, ECS, EKS
  • Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
  • Working experience in migrating workloads from on premise to cloud environment
  • Experience in monitoring distributed infrastructure, using AWS tools or open source ones Experience in monitoring distributed infrastructure, using AWS tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
  • Working experience with Agile Methodology and Kanban
  • Strong in data manipulation and BI tools
  • Solid stakeholder management skills, have dealt with top management to drive various projects
  • Proactive in taking initiatives, exceptional problem-solving skills, strong presence to manage cross-functional teams and execute well in a highly collaborative role

Location
: Cosenza, Bari, Bologna, Milano, Napoli, Roma, Salerno, Torino, Treviso, Pisa

**Build your future with NTT DATA.**
Join a global company, a leader in business and technology services, that listens to your voice and recognizes the value of your work. You will collaborate with clients, partners, and colleagues from all over the world to create innovative solutions capable of making a real impact on society.

Here, you will have the opportunity to develop new skills and expand your network.

We are present in Italy with over 6,000 employees across our offices in Milan, Rome, Turin, Genoa, Bologna, Treviso, Pisa, Padua, Naples, Cosenza, Bari, and Salerno.

Make this the place where you grow.

Join us!

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

Data Engineer

Master Data Architect Azure

NTT DATA Europe & Latam

Milansenior

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Описание вакансии

Data & Intelligence Business Line NTT DATA is looking for a Master Data Architect Azure.

Your Contribution In This Role

  • Manage Key Clients
  • Manage the relationships with Microsoft
  • Manage the Azure Center of Excellence
  • Lead Data & Analytics Azure projects
  • Support Recruitment
  • Support Value Proposition
  • Support Development of skills and capabilities, such as:
  • Design Data Platform using Azure DATA & AI services, such as Synapse, Data Factory, Data Lake Gen2, Stream Analytics, Purview, etc.
  • Design operations architecture and conduct performance engineering for large scale data lakes in production environment
  • Apply the Microsoft Well Architected Framework (WAF) and Cloud Adoption Framework (CAF) to the solution design and implementation
  • Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on Azure using Azure native services (such as Synapse, Data Factory, etc.) or using data management technologies (such as Talend or Informatica)
  • Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
  • Mentor other engineers in coding best practices and problem solving

The ideal profile

  • Proven experience in the field of data analytics, preferably from Consulting companies
  • Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level
  • Working experience in Azure cloud native environment
  • Experience and knowledge of Big Data Architectures, cloud and on premise
  • Azure infrastructure and networking working experience
  • Azure Load & Ingest services: Event Hub, Data Factory, Databricks
  • Azure main Storage services: Data Lake Gen1, Data Lake Gen 2, Delta Lake
  • Azure main Process & Serve services: Synapse, Databricks, Stream Analytics
  • Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
  • Working experience in migrating workloads from on premise to cloud environment
  • Experience in monitoring distributed infrastructure, using Azure tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
  • Working experience with Agile Methodology and Kanban
  • Strong in data manipulation and BI tools
  • Solid stakeholder management skills, have dealt with top management to drive various projects
  • Proactive in taking initiatives, exceptional problem-solving skills, strong presence to manage cross-functional teams and execute well in a highly collaborative role

Location:
Bari, Bologna, Cosenza, Milano, Napoli, Roma, Salerno, Torino, Treviso, Pisa

Build your future with NTT DATA.
Join a global company, a leader in business and technology services, that listens to your voice and recognizes the value of your work. You will collaborate with clients, partners, and colleagues from all over the world to create innovative solutions capable of making a real impact on society.

Here, you will have the opportunity to develop new skills and expand your network.

We are present in Italy with over 6,000 employees across our offices in Milan, Rome, Turin, Genoa, Bologna, Treviso, Pisa, Padua, Naples, Cosenza, Bari, and Salerno.

Make this the place where you grow.

Join us!

Это сохранённая копия объявления, опубликованного в другом месте. Вакансии снимают без предупреждения — перед откликом проверьте сайт работодателя. mentors.coach не является нанимающей стороной.

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Data EngineerCapco · Italy

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