2 607 Posti di lavoro per Data Engineering in Italia

Il Data Engineer prenderà parte all'implementazione di un ecosistema data driven. In particolare si occuperà dell'intero processo di pipeline ETL : Data Ingestion, Data Preparation, Data Transformation, Data Storage e Data Analytics, Data Monitoring.

Si occuperà inoltre di manutenzione e ottimizzazione della data platform aziendale e di supporto all'integrazione tra sistemi aziendali e strumenti di analisi (Power BI, PowerApps, ecc.).

Esperienza di almeno 5 anni maturata nel ruolo di Data Engineer, con provenienza da contesti produttivi e / o di IT consulting operanti per aziende di produzione

Laurea in Informatica, Ingegneria, Statistica o discipline affini

Conoscenza dei processi industriali e capacità di tradurre esigenze di business in soluzioni tecniche

Familiarità con ambienti cloud e conoscenza delle piattaforme MS : PowerBI, PowerAps, Azure Data Facory e Data Fabric

Solida esperienza nella costruzione e gestione di flussi ETL, Data Quality, Data Modeling,

Conoscenza di ISP e e pattern di integrazione tra sistemi, SQL, Python e strumenti di orchestrazione

Realtà industriale con sede in Veneto

Intermedia Selection, a leading Italian company in search and selection of professional and middle management, is present in Italy with more than 35 consultants in the offices of Milan, Rome.

Autorizzazione del Ministero del Lavoro n° 20323 / RS

Purpose of Position

We are looking for a Data Engineering Manager to lead our AI/ML and Data Science Team.

As a Data Engineering Manager, you will lead and mentor a team of 6-12 Data Engineers, fostering collaboration, ownership, and continuous learning to drive the success of our Affiliate Marketing platform. Your role involves overseeing data solution delivery, aligning engineering efforts with business objectives, and ensuring best practices across data engineering processes. Beyond day-to-day management, you will play a key role in recruitment, career development, and strategic growth while facilitating collaboration between squads, departments, and stakeholders.

Key tasks:

• Lead, mentor, and manage a team of 6-12 Data Engineers, ensuring their growth, performance, and engagement.
• Facilitate recruitment, onboarding, mentoring, and career progression planning for Data Engineers.
• Establish clear team ownership and promote a culture of autonomy, knowledge sharing, and continuous improvement.
• Oversee the delivery of data solutions, ensuring alignment with business goals and engineering best practices.
• Run performance and development review processes, setting and tracking individual development goals through regular 1:1s.
• Provide constructive feedback, resolve conflicts, and create a supportive team environment.
• Enable teams to take ownership of all stages of the software development lifecycle, including development, deployment, support, and maintenance.
• Collaborate with product owners, engineering leadership, and other stakeholders to balance effort vs. outcome, ensuring pragmatic and impactful solutions.
• Contribute to the strategic direction of the Data Engineering department, driving process improvements and standardization efforts.
• Act autonomously under the guidance of the Head of Data Engineering, contributing to department-wide initiatives and decision-making.

Skill and Expertise:

• 8+ years of professional experience in data engineering, of which 2+ years of people management and technical leadership experience.
• Experience in cloud-based data platforms, ETL pipelines, and distributed data processing frameworks.
• Experience in building and optimizing ML pipelines, including feature engineering, model training, deployment, and monitoring.
• Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility.
• Experience with tools used for statistical analysis, predictive modeling, and AI/ML development.
• Familiarity with data governance, security best practices, and compliance regulations.
• A track record of driving strategic initiatives and engineering standardization efforts across multiple teams.
• Expertise in managing and mentoring engineering teams, with a passion for fostering career growth and professional development.
• Strong knowledge of Agile, Scrum, or Kanban methodologies, with the ability to shape and refine development processes.
• Experience working in cross-functional setups, collaborating with product teams and business stakeholders.
• Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration or similar education with a focus on data/business intelligence/analytics is preferred.

We also value:

• Strong interest and gaining expertise in people management tasks including recruitment, personnel development, giving feedback and solving interpersonal conflicts – passionate to apply these to foster personal and professional growth in the team.
• A proactive and empathetic leadership style, driving motivation and engagement within teams.
• Ability to monitor individual performance, provide constructive feedback, and mediate conflicts effectively.
• Assists Data Engineering in driving technical excellence within their teams and tribes.
• Excellent communication skills, capable of conveying technical and non-technical topics clearly and adapting language for different audiences.
• A collaborative mindset, openness to feedback, and willingness to compromise to achieve the best possible outcomes.
• Actively supports engineers through knowledge sharing, code reviews, pair programming, etc.
• Proactive in raising or fixing concerns/issues, proposing solutions.
• Able to compromise, receive feedback and collaborate on effective solution definition.
• Preventing unnecessary complexity and premature optimization.
• Eager to learn new technologies and new ways to work and open to new perspectives whilst deepening on own area of expertise.

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions.
• Health & Wellbeing: The insurance covers several types of health, vision and/or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

As a SA/VLM associate, you will be responsible for creating high-quality written content for videos/images and/or labeling of objects on audio, image, and/or video-file. Your primary focus will be on producing clear, concise, and informative content that meets the needs of the target audience.


Key job responsibilities
• Performs simple annotation-related tasks in a narrow ML data process area (e.g. audio, image, and/or video-file). Uses internal tools and software provided by team.
• May participate in data collection activities when scripts and instructions are provided. Adheres to compliance and confidentiality requirements.
• Apply strong language skills, grammar knowledge, and linguistic rules to ensure the generated text adheres to proper grammar, syntax, and appropriate language usage.
• Maintaining high internal quality of the processes by performing quality audits/verification.
• Meets daily productivity and quality targets. Tracks queries related to annotation/data collection and share them with the relevant stakeholders to help solve them.
• Track daily task completion status using recommended tools and provide individual status reports.
• Adhere to confidentiality & compliance requirements to ensure zero risk to customer data and Amazon. Helps test new SOPs and ML data tools.
• Providing specific & timely feedback to streamline existing processes and help the team achieve more consistent results with high quality.
• Offering remedial instruction in tool usage and other topics as required.
Requirements:
• Strong command of the English language, including grammar, syntax, and vocabulary.
• Background in linguistics, creative writing, computational linguistics, or a related field is preferred.
• Analytical mindset with the ability to evaluate and interpret data to improve the performance of the system.
• Good familiarity with the Windows desktop environment and uses of Word, Excel, IE, Firefox etc. are required
• Flexibility and Interest to do repetitive tasks is required.
• High level of energy and proactive nature. A sense of ownership and drive and a willingness to accept the challenge of daily deadlines is essential
• Attention to detail and ability to identify and rectify errors or inconsistencies in descriptions generated.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
• Passion for language, technology, and AI advancements.
• Ability to meet deadlines, prioritize tasks, and manage multiple projects simultaneously.

- Bachelor's degree
- Speak, write, and read fluently in English
- Knowledge of Microsoft Office products and applications
- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
- Certification in any of the following: Content Writing, Creative Writing, English Literature, English, Literary Arts, Linguistics, English as a Second Language Teaching (preferred).

- Bachelor's degree in English, Journalism, Marketing, or a related field (preferred).
- Prior experience of 2-4 years and familiarity with US culture preferred; or experience in multicultural communication will be a plus.

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.

We are looking for an Data Engineering Manager to lead our AI / ML and Data Science Team.

As a Data Engineering Manager, you will lead and mentor a team of 6-12 Data Engineers, fostering collaboration, ownership, and continuous learning to drive the success of our Affiliate Marketing platform. Your role involves overseeing data solution delivery, aligning engineering efforts with business objectives, and ensuring best practices across data engineering processes. Beyond day-to-day management, you will play a key role in recruitment, career development, and strategic growth while facilitating collaboration between squads, departments, and stakeholders.

Key tasks :

• Lead, mentor, and manage a team of 6-12 Data Engineers, ensuring their growth, performance, and engagement.
• Facilitate recruitment, onboarding, mentoring, and career progression planning for Data Engineers.
• Establish clear team ownership and promote a culture of autonomy, knowledge sharing, and continuous improvement.
• Oversee the delivery of data solutions, ensuring alignment with business goals and engineering best practices.
• Run performance and development review processes, setting and tracking individual development goals through regular 1 : 1s.
• Provide constructive feedback, resolve conflicts, and create a supportive team environment.
• Enable teams to take ownership of all stages of the software development lifecycle, including development, deployment, support, and maintenance.
• Collaborate with product owners, engineering leadership, and other stakeholders to balance effort vs. outcome, ensuring pragmatic and impactful solutions.
• Contribute to the strategic direction of the Data Engineering department, driving process improvements and standardization efforts.
• Act autonomously under the guidance of the Head of Data Engineering, contributing to department-wide initiatives and decision-making.

Skill and Expertise :

• 8+ years of professional experience in data engineering, of which 2+ years of people management and technical leadership experience.
• Experience in cloud-based data platforms, ETL pipelines, and distributed data processing frameworks.
• Experience in building and optimizing ML pipelines, including feature engineering, model training, deployment, and monitoring.
• Deep understanding of MLOps best practices, including CI / CD for ML, model versioning, experiment tracking, and reproducibility.
• Experience with tools used for statistical analysis, predictive modeling, and AI / ML development.
• Familiarity with data governance, security best practices, and compliance regulations.
• A track record of driving strategic initiatives and engineering standardization efforts across multiple teams.
• Expertise in managing and mentoring engineering teams, with a passion for fostering career growth and professional development.
• Strong knowledge of Agile, Scrum, or Kanban methodologies, with the ability to shape and refine development processes.
• Experience working in cross-functional setups, collaborating with product teams and business stakeholders.
• Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration or similar education with a focus on data / business intelligence / analytics is preferred.

We also value :

• Strong interest and gaining expertise in people management tasks including recruitment, personnel development, giving feedback and solving interpersonal conflicts – passionate to apply these to foster personal and professional growth in the team.
• A proactive and empathetic leadership style, driving motivation and engagement within teams.
• Ability to monitor individual performance, provide constructive feedback, and mediate conflicts effectively.
• Assists Data Engineering in driving technical excellence within their teams and tribes.
• Excellent communication skills, capable of conveying technical and non-technical topics clearly and adapting language for different audiences.
• A collaborative mindset, openness to feedback, and willingness to compromise to achieve the best possible outcomes.
• Actively supports engineers through knowledge sharing, code reviews, pair programming, etc.
• Proactive in raising or fixing concerns / issues, proposing solutions.
• Able to compromise, receive feedback and collaborate on effective solution definition.
• Preventing unnecessary complexity and premature optimization.
• Eager to learn new technologies and new ways to work and open to new perspectives whilst deepening on own area of expertise.

Our Offer

• Flexi-Week and Work-Life Balance : We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance : You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office : We offer an international culture and flexibility through our Flexi-Office and hybrid / remote work possibilities to work across Awin regions
• Health & Wellbeing : The insurance covers several types of health, vision and / or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package : After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location
• Appreciation : Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

LI-RS1

Purpose of Position

We are looking for a Data Engineering Manager to lead our AI / ML and Data Science Team.

As a Data Engineering Manager, you will lead and mentor a team of 6-12 Data Engineers, fostering collaboration, ownership, and continuous learning to drive the success of our Affiliate Marketing platform. Your role involves overseeing data solution delivery, aligning engineering efforts with business objectives, and ensuring best practices across data engineering processes. Beyond day-to-day management, you will play a key role in recruitment, career development, and strategic growth while facilitating collaboration between squads, departments, and stakeholders.

Key tasks :

• Lead, mentor, and manage a team of 6-12 Data Engineers, ensuring their growth, performance, and engagement.
• Facilitate recruitment, onboarding, mentoring, and career progression planning for Data Engineers.
• Establish clear team ownership and promote a culture of autonomy, knowledge sharing, and continuous improvement.
• Oversee the delivery of data solutions, ensuring alignment with business goals and engineering best practices.
• Run performance and development review processes, setting and tracking individual development goals through regular 1 : 1s.
• Provide constructive feedback, resolve conflicts, and create a supportive team environment.
• Enable teams to take ownership of all stages of the software development lifecycle, including development, deployment, support, and maintenance.
• Collaborate with product owners, engineering leadership, and other stakeholders to balance effort vs. outcome, ensuring pragmatic and impactful solutions.
• Contribute to the strategic direction of the Data Engineering department, driving process improvements and standardization efforts.
• Act autonomously under the guidance of the Head of Data Engineering, contributing to department-wide initiatives and decision-making.

Skill and Expertise :

We also value :

Our Offer

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.

J-18808-Ljbffr

Purpose of Position

We are looking for a Data Engineering Manager to lead our AI/ML and Data Science Team.

As a Data Engineering Manager, you will lead and mentor a team of 6-12 Data Engineers, fostering collaboration, ownership, and continuous learning to drive the success of our Affiliate Marketing platform. Your role involves overseeing data solution delivery, aligning engineering efforts with business objectives, and ensuring best practices across data engineering processes. Beyond day-to-day management, you will play a key role in recruitment, career development, and strategic growth while facilitating collaboration between squads, departments, and stakeholders.

Key tasks:

• Lead, mentor, and manage a team of 6-12 Data Engineers, ensuring their growth, performance, and engagement.
• Facilitate recruitment, onboarding, mentoring, and career progression planning for Data Engineers.
• Establish clear team ownership and promote a culture of autonomy, knowledge sharing, and continuous improvement.
• Oversee the delivery of data solutions, ensuring alignment with business goals and engineering best practices.
• Run performance and development review processes, setting and tracking individual development goals through regular 1:1s.
• Provide constructive feedback, resolve conflicts, and create a supportive team environment.
• Enable teams to take ownership of all stages of the software development lifecycle, including development, deployment, support, and maintenance.
• Collaborate with product owners, engineering leadership, and other stakeholders to balance effort vs. outcome, ensuring pragmatic and impactful solutions.
• Contribute to the strategic direction of the Data Engineering department, driving process improvements and standardization efforts.
• Act autonomously under the guidance of the Head of Data Engineering, contributing to department-wide initiatives and decision-making.

Skill and Expertise:

• 8+ years of professional experience in data engineering, of which 2+ years of people management and technical leadership experience.
• Experience in cloud-based data platforms, ETL pipelines, and distributed data processing frameworks.
• Experience in building and optimizing ML pipelines, including feature engineering, model training, deployment, and monitoring.
• Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility.
• Experience with tools used for statistical analysis, predictive modeling, and AI/ML development.
• Familiarity with data governance, security best practices, and compliance regulations.
• A track record of driving strategic initiatives and engineering standardization efforts across multiple teams.
• Expertise in managing and mentoring engineering teams, with a passion for fostering career growth and professional development.
• Strong knowledge of Agile, Scrum, or Kanban methodologies, with the ability to shape and refine development processes.
• Experience working in cross-functional setups, collaborating with product teams and business stakeholders.
• Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration or similar education with a focus on data/business intelligence/analytics is preferred.

We also value:

• Strong interest and gaining expertise in people management tasks including recruitment, personnel development, giving feedback and solving interpersonal conflicts – passionate to apply these to foster personal and professional growth in the team.
• A proactive and empathetic leadership style, driving motivation and engagement within teams.
• Ability to monitor individual performance, provide constructive feedback, and mediate conflicts effectively.
• Assists Data Engineering in driving technical excellence within their teams and tribes.
• Excellent communication skills, capable of conveying technical and non-technical topics clearly and adapting language for different audiences.
• A collaborative mindset, openness to feedback, and willingness to compromise to achieve the best possible outcomes.
• Actively supports engineers through knowledge sharing, code reviews, pair programming, etc.
• Proactive in raising or fixing concerns/issues, proposing solutions.
• Able to compromise, receive feedback and collaborate on effective solution definition.
• Preventing unnecessary complexity and premature optimization.
• Eager to learn new technologies and new ways to work and open to new perspectives whilst deepening on own area of expertise.

Our Offer

• Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves.
• Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately.
• Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions.
• Health & Wellbeing: The insurance covers several types of health, vision and/or dental treatments for you and for up to one additional family member.
• Remote Working Furniture Package: After 3 months of employment, you will be eligible for a furniture package, which should enable you to set up a proper workplace at your remote working location.
• Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.

Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.