17 Posti di lavoro per Senior data engineer in Campania

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Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer

• A challenging career path in a rapidly growing company with a modern vision and talented teams.
• A competitive salary (and benefits) that values people skills and experience.
• A young and inspiring work environment that encourages diversity and cultural exchange.
• Individual growth objectives with a dedicated budget for learning/training.
• Flexible working hours and working locations, we value work-life balance!
• A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices…

• Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!).
• Seasonal celebrations, happy hours, and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on

• Build and maintain Python ETL pipelines and serverless data processing.
• Integrate external data sources via REST APIs, cloud exports, and internal systems.
• Model and transform data to support analysis, reporting, and monitoring.
• Create dashboards and reports using Looker Studio.
• Collaborate with stakeholders across product, marketing, cloud, and leadership.
• Ensure data quality, consistency, and reliability through testing and monitoring.
• Document and manage code through GitHub and version-controlled workflows.
• Contribute to architectural decisions across GCP and AWS environments.
• Our Stack:

Warehouse: BigQuery

Visualization: Looker Studio (Power BI is a plus)

Integrations: REST APIs, internal systems

Version Control: GitHub

Cloud: GCP & AWS

What you bring

• 5+ years of experience in data engineering, analytics engineering, or a similar role.
• BS/MS in Computer Science or other technical related fields
• Programming skills in Python, Go, or Scala for data processing.
• Fluency in SQL and a strong foundation in data modeling.
• Experience ingesting and processing data from third-party APIs.
• Work comfortably with cloud infrastructure (especially GCP or AWS).
• Use Git for code collaboration and version control.
• Value simplicity, maintainability, and clarity in your work.
• Communicate effectively with stakeholders using well-structured dashboards.
• Fluent in English, written and spoken
• Great teamwork and positive attitude

Bonus Points

• Experience with Apache Airflow.
• Knowledge of data privacy, security, or GDPR-compliant data practices.
• AWS Glue and Spark experience for large-scale ETL
• Familiarity with Power BI or other enterprise BI platforms.
• Exposure to customer data platforms like Segment or event-based tracking.
• Understanding of experimentation, funnel analysis, or retention metrics.
• Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

#J-18808-Ljbffr

Social network you want to login/join with:

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer

• A challenging career path in a rapidly growing company with a modern vision and talented teams.
• A competitive salary (and benefits) that values people skills and experience.
• A young and inspiring work environment that encourages diversity and cultural exchange.
• Individual growth objectives with a dedicated budget for learning/training.
• Flexible working hours and working locations, we value work-life balance!
• A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices…

• Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!).
• Seasonal celebrations, happy hours, and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on

• Build and maintain Python ETL pipelines and serverless data processing.
• Integrate external data sources via REST APIs, cloud exports, and internal systems.
• Model and transform data to support analysis, reporting, and monitoring.
• Create dashboards and reports using Looker Studio.
• Collaborate with stakeholders across product, marketing, cloud, and leadership.
• Ensure data quality, consistency, and reliability through testing and monitoring.
• Document and manage code through GitHub and version-controlled workflows.
• Contribute to architectural decisions across GCP and AWS environments.
• Our Stack:

Warehouse: BigQuery

Visualization: Looker Studio (Power BI is a plus)

Integrations: REST APIs, internal systems

Version Control: GitHub

Cloud: GCP & AWS

What you bring

• 5+ years of experience in data engineering, analytics engineering, or a similar role.
• BS/MS in Computer Science or other technical related fields
• Programming skills in Python, Go, or Scala for data processing.
• Fluency in SQL and a strong foundation in data modeling.
• Experience ingesting and processing data from third-party APIs.
• Work comfortably with cloud infrastructure (especially GCP or AWS).
• Use Git for code collaboration and version control.
• Value simplicity, maintainability, and clarity in your work.
• Communicate effectively with stakeholders using well-structured dashboards.
• Fluent in English, written and spoken
• Great teamwork and positive attitude

Bonus Points

• Experience with Apache Airflow.
• Knowledge of data privacy, security, or GDPR-compliant data practices.
• AWS Glue and Spark experience for large-scale ETL
• Familiarity with Power BI or other enterprise BI platforms.
• Exposure to customer data platforms like Segment or event-based tracking.
• Understanding of experimentation, funnel analysis, or retention metrics.
• Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

#J-18808-Ljbffr

Social network you want to login/join with:

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer

• A challenging career path in a rapidly growing company with a modern vision and talented teams.
• A competitive salary (and benefits) that values people skills and experience.
• A young and inspiring work environment that encourages diversity and cultural exchange.
• Individual growth objectives with a dedicated budget for learning/training.
• Flexible working hours and working locations, we value work-life balance!
• A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices…

• Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!).
• Seasonal celebrations, happy hours, and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on

• Build and maintain Python ETL pipelines and serverless data processing.
• Integrate external data sources via REST APIs, cloud exports, and internal systems.
• Model and transform data to support analysis, reporting, and monitoring.
• Create dashboards and reports using Looker Studio.
• Collaborate with stakeholders across product, marketing, cloud, and leadership.
• Ensure data quality, consistency, and reliability through testing and monitoring.
• Document and manage code through GitHub and version-controlled workflows.
• Contribute to architectural decisions across GCP and AWS environments.
• Our Stack:

Warehouse: BigQuery

Visualization: Looker Studio (Power BI is a plus)

Integrations: REST APIs, internal systems

Version Control: GitHub

Cloud: GCP & AWS

What you bring

• 5+ years of experience in data engineering, analytics engineering, or a similar role.
• BS/MS in Computer Science or other technical related fields
• Programming skills in Python, Go, or Scala for data processing.
• Fluency in SQL and a strong foundation in data modeling.
• Experience ingesting and processing data from third-party APIs.
• Work comfortably with cloud infrastructure (especially GCP or AWS).
• Use Git for code collaboration and version control.
• Value simplicity, maintainability, and clarity in your work.
• Communicate effectively with stakeholders using well-structured dashboards.
• Fluent in English, written and spoken
• Great teamwork and positive attitude

Bonus Points

• Experience with Apache Airflow.
• Knowledge of data privacy, security, or GDPR-compliant data practices.
• AWS Glue and Spark experience for large-scale ETL
• Familiarity with Power BI or other enterprise BI platforms.
• Exposure to customer data platforms like Segment or event-based tracking.
• Understanding of experimentation, funnel analysis, or retention metrics.
• Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

#J-18808-Ljbffr

Senior Data Engineer
(M/F/D)
Il nostro Data & AI Team è composto da esperti riconosciuti a livello globale.
Contribuisci alla realizzazione di progetti in ambito Cloud Transformation, sfruttando le potenzialità della piattaforma Microsoft Azure.
Porta le tue competenze ad un altro livello ed inizia una carriera grazie alla quale puoi davvero fare ciò che conta.
Entra a far parte della nostra squadra!
Entra nel mondo della Data Engineering! Potrai trasformare i requisiti aziendali in soluzioni tecnologiche innovative in ambito Data Management & Analytics, mantenendo un focus particolare sulle Data Platform Cloud e On Premises Microsoft. Analizzerai processi e dati per definire opportunità di business e guidare i nostri clienti verso risultati concreti.
I clienti si rivolgono a noi per l'innovazione: avrai accesso privilegiato alle più recenti tecnologie Microsoft, così da padroneggiare le loro richieste e rimanere sempre aggiornato.
Together we do what matter.
Cosa farai:
* Architettura, progettazione, sviluppo e rilascio di soluzioni Analytics di livello enterprise basate sulle tecnologie Azure e Databricks
* Traduzione di requisiti aziendali in soluzioni tecniche, analisi di processi/procedure aziendali per identificare opportunità di business future
* Comunicazione diretta con clienti cross mercato di alto profilo per comprendere le loro esigenze e presentare soluzioni in line con i loro KPI
* Mentoring e punto di riferimento per colleghi più Jr del team, che supporterai e guiderai nella loro crescita professionale
* Sviluppo costante di competenze tecniche sulle tecnologie Azure, con conseguimento di certificazioni pertinenti
Competenze ed esperienze:
* Esperienza comprovata nella trasformazione di casi d'uso aziendali e requisiti in soluzioni tecniche
* Competenza nella mappatura di processi aziendali per l'analisi e la creazione di soluzioni di dati in ambito Azure
* Capacità di rendere i dati immediatamente accessibili da usare per analisi di routine/ad hoc
* Conoscenza di componenti Azure: Data Factory, Databricks, Azure Data Lake Storage, CosmosDB, SQL DWH/Synapse/SQL Azure.
* Conoscenza di PowerBI per attività di reportistica e creazione di dashboard
Il tuo profilo:
Caratteristiche richieste per questo ruolo:
* Analitico e curioso
* Team player e ottimo comunicatore
* Problem-solver, paziente e orientato alla qualità
* Propositivo
* Mindset innovativo
Vivi al meglio la tua carriera:
Alcuni dei vantaggi di lavorare in Avanade:
* Siamo Microsoft's Global Alliance Partner of the Year da 14 anni consecutivi. Ci caratterizzano sviluppo e formazione eccezionali (min 80 ore di formazione all'anno e certificazioni pagate dall'azienda)
* Accesso in tempo reale a risorse tecniche e qualificate a livello globale
* Carrer Adviser dedicato per supportare la tua crescita
* Collabora con alcune delle "menti Microsoft" più brillanti
Scopri di più sui nostri benefit (1)
(2) Benefits per i dipendenti Avanade
Il luogo ideale in cui lavorare:
Portando le tue competenze e abilità in Avanade, otterrai in cambio esperienze distintive, apprendimento senza limiti e una crescita ambiziosa. Costruendo una cultura più diversificata e inclusiva, diventiamo sempre più innovativi e creativi, allo scopo di supportare al meglio i nostri clienti. Lavora in un'azienda creata per ideare soluzioni tecnologiche all'avanguardia, impegnata a migliorare il modo di lavorare, interagire e vivere delle proprie persone.
Ci impegnamo a creare una cultura inclusiva e diversificata, caratterizzata da un profondo senso di appartenenza per tutti i nostri dipendenti. Visita la nostra pagina(3) Inclusion & Diversity
Ulteriori informazioni:
Per saperne di più su Avanade, visita questi link:
(4)
(5) LinkedIn
(6)
(7) Inside Avanade Blog
(8) Business Responsabile
(9)
(10) Carriere in Avanade
References
Visible links
1. work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer A challenging career path in a rapidly growing company with a modern vision and talented teams. A competitive salary (and benefits) that values people skills and experience. A young and inspiring work environment that encourages diversity and cultural exchange. Individual growth objectives with a dedicated budget for learning/training. Flexible working hours and working locations, we value work-life balance! A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices… Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!). Seasonal celebrations, happy hours, and everyday drinks and snacks at the office. Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on Build and maintain Python ETL pipelines and serverless data processing. Integrate external data sources via REST APIs, cloud exports, and internal systems. Model and transform data to support analysis, reporting, and monitoring. Create dashboards and reports using Looker Studio. Collaborate with stakeholders across product, marketing, cloud, and leadership. Ensure data quality, consistency, and reliability through testing and monitoring. Document and manage code through GitHub and version-controlled workflows. Contribute to architectural decisions across GCP and AWS environments. Our Stack: Warehouse: BigQuery Orchestration: Apache Airflow Visualization: Looker Studio (Power BI is a plus) Tracking: Segment Integrations: REST APIs, internal systems Version Control: GitHub Cloud: GCP & AWS

What you bring 5+ years of experience in data engineering, analytics engineering, or a similar role. BS/MS in Computer Science or other technical related fields Programming skills in Python, Go, or Scala for data processing. Fluency in SQL and a strong foundation in data modeling. Experience ingesting and processing data from third-party APIs. Work comfortably with cloud infrastructure (especially GCP or AWS). Use Git for code collaboration and version control. Value simplicity, maintainability, and clarity in your work. Communicate effectively with stakeholders using well-structured dashboards. Fluent in English, written and spoken Great teamwork and positive attitude

Bonus Points Experience with Apache Airflow. Knowledge of data privacy, security, or GDPR-compliant data practices. AWS Glue and Spark experience for large-scale ETL Familiarity with Power BI or other enterprise BI platforms. Exposure to customer data platforms like Segment or event-based tracking. Understanding of experimentation, funnel analysis, or retention metrics. Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer A challenging career path in a rapidly growing company with a modern vision and talented teams. A competitive salary (and benefits) that values people skills and experience. A young and inspiring work environment that encourages diversity and cultural exchange. Individual growth objectives with a dedicated budget for learning/training. Flexible working hours and working locations, we value work-life balance! A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices… Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!). Seasonal celebrations, happy hours, and everyday drinks and snacks at the office. Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on Build and maintain Python ETL pipelines and serverless data processing. Integrate external data sources via REST APIs, cloud exports, and internal systems. Model and transform data to support analysis, reporting, and monitoring. Create dashboards and reports using Looker Studio. Collaborate with stakeholders across product, marketing, cloud, and leadership. Ensure data quality, consistency, and reliability through testing and monitoring. Document and manage code through GitHub and version-controlled workflows. Contribute to architectural decisions across GCP and AWS environments. Our Stack: Warehouse: BigQuery Orchestration: Apache Airflow Visualization: Looker Studio (Power BI is a plus) Tracking: Segment Integrations: REST APIs, internal systems Version Control: GitHub Cloud: GCP & AWS

What you bring 5+ years of experience in data engineering, analytics engineering, or a similar role. BS/MS in Computer Science or other technical related fields Programming skills in Python, Go, or Scala for data processing. Fluency in SQL and a strong foundation in data modeling. Experience ingesting and processing data from third-party APIs. Work comfortably with cloud infrastructure (especially GCP or AWS). Use Git for code collaboration and version control. Value simplicity, maintainability, and clarity in your work. Communicate effectively with stakeholders using well-structured dashboards. Fluent in English, written and spoken Great teamwork and positive attitude

Bonus Points Experience with Apache Airflow. Knowledge of data privacy, security, or GDPR-compliant data practices. AWS Glue and Spark experience for large-scale ETL Familiarity with Power BI or other enterprise BI platforms. Exposure to customer data platforms like Segment or event-based tracking. Understanding of experimentation, funnel analysis, or retention metrics. Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer A challenging career path in a rapidly growing company with a modern vision and talented teams. A competitive salary (and benefits) that values people skills and experience. A young and inspiring work environment that encourages diversity and cultural exchange. Individual growth objectives with a dedicated budget for learning/training. Flexible working hours and working locations, we value work-life balance! A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices… Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!). Seasonal celebrations, happy hours, and everyday drinks and snacks at the office. Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on Build and maintain Python ETL pipelines and serverless data processing. Integrate external data sources via REST APIs, cloud exports, and internal systems. Model and transform data to support analysis, reporting, and monitoring. Create dashboards and reports using Looker Studio. Collaborate with stakeholders across product, marketing, cloud, and leadership. Ensure data quality, consistency, and reliability through testing and monitoring. Document and manage code through GitHub and version-controlled workflows. Contribute to architectural decisions across GCP and AWS environments. Our Stack: Warehouse: BigQuery Orchestration: Apache Airflow Visualization: Looker Studio (Power BI is a plus) Tracking: Segment Integrations: REST APIs, internal systems Version Control: GitHub Cloud: GCP & AWS

What you bring 5+ years of experience in data engineering, analytics engineering, or a similar role. BS/MS in Computer Science or other technical related fields Programming skills in Python, Go, or Scala for data processing. Fluency in SQL and a strong foundation in data modeling. Experience ingesting and processing data from third-party APIs. Work comfortably with cloud infrastructure (especially GCP or AWS). Use Git for code collaboration and version control. Value simplicity, maintainability, and clarity in your work. Communicate effectively with stakeholders using well-structured dashboards. Fluent in English, written and spoken Great teamwork and positive attitude

Bonus Points Experience with Apache Airflow. Knowledge of data privacy, security, or GDPR-compliant data practices. AWS Glue and Spark experience for large-scale ETL Familiarity with Power BI or other enterprise BI platforms. Exposure to customer data platforms like Segment or event-based tracking. Understanding of experimentation, funnel analysis, or retention metrics. Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

Social network you want to login/join with:

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer

• A challenging career path in a rapidly growing company with a modern vision and talented teams.
• A competitive salary (and benefits) that values people skills and experience.
• A young and inspiring work environment that encourages diversity and cultural exchange.
• Individual growth objectives with a dedicated budget for learning/training.
• Flexible working hours and working locations, we value work-life balance!
• A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices…

• Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!).
• Seasonal celebrations, happy hours, and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on

• Build and maintain Python ETL pipelines and serverless data processing.
• Integrate external data sources via REST APIs, cloud exports, and internal systems.
• Model and transform data to support analysis, reporting, and monitoring.
• Create dashboards and reports using Looker Studio.
• Collaborate with stakeholders across product, marketing, cloud, and leadership.
• Ensure data quality, consistency, and reliability through testing and monitoring.
• Document and manage code through GitHub and version-controlled workflows.
• Contribute to architectural decisions across GCP and AWS environments.
• Our Stack:

Warehouse: BigQuery

Visualization: Looker Studio (Power BI is a plus)

Integrations: REST APIs, internal systems

Version Control: GitHub

Cloud: GCP & AWS

What you bring

• 5+ years of experience in data engineering, analytics engineering, or a similar role.
• BS/MS in Computer Science or other technical related fields
• Programming skills in Python, Go, or Scala for data processing.
• Fluency in SQL and a strong foundation in data modeling.
• Experience ingesting and processing data from third-party APIs.
• Work comfortably with cloud infrastructure (especially GCP or AWS).
• Use Git for code collaboration and version control.
• Value simplicity, maintainability, and clarity in your work.
• Communicate effectively with stakeholders using well-structured dashboards.
• Fluent in English, written and spoken
• Great teamwork and positive attitude

Bonus Points

• Experience with Apache Airflow.
• Knowledge of data privacy, security, or GDPR-compliant data practices.
• AWS Glue and Spark experience for large-scale ETL
• Familiarity with Power BI or other enterprise BI platforms.
• Exposure to customer data platforms like Segment or event-based tracking.
• Understanding of experimentation, funnel analysis, or retention metrics.
• Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

#J-18808-Ljbffr

Social network you want to login/join with:

Arduino’s mission is to enable people to enhance their lives through accessible open-source electronics and digital technologies. Since 2005, millions of people, from kids and students to engineers and professionals around the world, are using Arduino to innovate in the fields of music, games and toys, smart homes, farming, autonomous vehicles and many more.

We’re looking for a Data Engineer / Analytics Engineer to help us scale our modern data stack — someone who can work across ingestion, modeling, and visualization, and partner with teams across the company to unlock value from data. The ideal candidate is autonomous, has strong communication skills and the ability to work effectively in a dynamic, multidisciplinary and international environment.

What we offer

• A challenging career path in a rapidly growing company with a modern vision and talented teams.
• A competitive salary (and benefits) that values people skills and experience.
• A young and inspiring work environment that encourages diversity and cultural exchange.
• Individual growth objectives with a dedicated budget for learning/training.
• Flexible working hours and working locations, we value work-life balance!
• A work opportunity in a mission-driven company committed to empowering people around the world.

And if you live near one of our offices…

• Ping pong and foosball tournaments (sport or gym benefit is also included for everyone!).
• Seasonal celebrations, happy hours, and everyday drinks and snacks at the office.
• Sunny rooftop lunch breaks and hammocks for relaxation and concentration.

What you'll work on

• Build and maintain Python ETL pipelines and serverless data processing.
• Integrate external data sources via REST APIs, cloud exports, and internal systems.
• Model and transform data to support analysis, reporting, and monitoring.
• Create dashboards and reports using Looker Studio.
• Collaborate with stakeholders across product, marketing, cloud, and leadership.
• Ensure data quality, consistency, and reliability through testing and monitoring.
• Document and manage code through GitHub and version-controlled workflows.
• Contribute to architectural decisions across GCP and AWS environments.
• Our Stack:

Warehouse: BigQuery

Visualization: Looker Studio (Power BI is a plus)

Integrations: REST APIs, internal systems

Version Control: GitHub

Cloud: GCP & AWS

What you bring

• 5+ years of experience in data engineering, analytics engineering, or a similar role.
• BS/MS in Computer Science or other technical related fields
• Programming skills in Python, Go, or Scala for data processing.
• Fluency in SQL and a strong foundation in data modeling.
• Experience ingesting and processing data from third-party APIs.
• Work comfortably with cloud infrastructure (especially GCP or AWS).
• Use Git for code collaboration and version control.
• Value simplicity, maintainability, and clarity in your work.
• Communicate effectively with stakeholders using well-structured dashboards.
• Fluent in English, written and spoken
• Great teamwork and positive attitude

Bonus Points

• Experience with Apache Airflow.
• Knowledge of data privacy, security, or GDPR-compliant data practices.
• AWS Glue and Spark experience for large-scale ETL
• Familiarity with Power BI or other enterprise BI platforms.
• Exposure to customer data platforms like Segment or event-based tracking.
• Understanding of experimentation, funnel analysis, or retention metrics.
• Use of CI/CD workflows in data engineering or analytics contexts.

If you're excited about this role or about our company, but your experience doesn't align perfectly with the points outlined above, we strongly encourage you to apply anyway. If we feel you don’t fit for this job, we may have something else for you!

#J-18808-Ljbffr