Data Engineer, Ads Finance, Ad Sales Analytics, Amazon Ads Sales Analytics (DIGI)

Amazon; Milano; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading global technology company in Milano is seeking a motivated data engineer to join their DIGI team. The successful candidate will design and manage data infrastructure, improve ETL processes, and collaborate with various business leaders to enhance reporting capabilities. A strong background in data engineering, AWS technologies, and SQL is essential. This role offers a diverse and inclusive work environment, fostering continuous learning and innovation.

Competenze

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Knowledge of distributed systems as it pertains to data storage and computing.
• Experience in ETL management/data pipeline.
• Experience with AWS technologies like Redshift, S3, and others.
• 5+ years of SQL experience.

Mansioni

• Owning the design, operations and improvements for the Organizations Datawarehouse infrastructure.
• Maintain, improve and manage all ETL pipelines and clusters.
• Explore and learn the latest AWS technologies.
• Define metrics and KPIs to measure success.
• Develop relationships and processes with cross-functional stakeholders.
• Help improve ongoing reporting and analysis processes.
• Collaborate with data scientists and other teams.
• Design metrics schemas supporting analytical queries.

Conoscenze

Data engineering experience

Data modeling

ETL pipeline management

SQL

AWS technologies

Descrizione del lavoro

Amazon is looking for a motivated individual with strong database, analytical skills and technology experience to join the DIGI (Ad Sales Finance analytics) team. The successful candidate will partner with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual reporting for the Display Ads Finance group and its stakeholders.

Key Job Responsibilities

• Owning the design, operations and improvements for the Organizations Datawarehouse infrastructure
• Maintain, improve and manage all ETL pipelines and clusters
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Define metrics and KPIs to measure success of strategic initiatives and report on their progress
• Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross‑functional stakeholders
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self‑service support for customers
• Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines
• Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns

A day in the Life

The role will involve building GenAI capabilities and a GenAI‑ready data layer for automating insights generation and solving analytical problems across the Ad Sales Finance organization.

About the Team

The Advertising Sales Finance Analytics & FP&A team supports advertising leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve decision‑making speed, and providing insightful financial analysis on short‑ and long‑term strategies.

Basic Qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience in ETL management/data pipeline
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• 5+ years of SQL experience

Preferred Qualifications

• Experience with non‑relational databases/data stores (object storage, document or key‑value stores, graph databases, column‑family databases)
• Knowledge of cloud computing services or deployment architecture
• Experience building data pipelines or automated ETL processes

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, visit https://amazon.jobs/content/en/how-we-hire/accommodations 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.