Data Engineer, EU AVS / VX

Amazon EU SARL (Italy Branch); Varedo; In loco; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading e-commerce company in Varedo is looking for a Data Engineer to design and implement scalable data solutions. This role involves collaborating with product managers and scientists to manage and optimize data pipelines and architecture. Candidates should have experience with SQL and data modeling. Preferred qualifications include familiarity with AWS tools and non-relational databases. This is a pivotal role enhancing vendor success on the platform.

Competenze

• Experience as a Data Engineer or in a similar role.
• Experience with data modeling, warehousing, and ETL pipelines.
• Strong SQL skills.

Mansioni

• Design and implement data pipelines and ETL processes.
• Partner with BIEs and scientists for clean datasets.
• Build and optimize data infrastructure.

Conoscenze

Data modeling

ETL pipelines

SQL

Strumenti

AWS (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda)

Non-relational databases

Descrizione del lavoro

The EU Amazon Vendor Services (AVS) and Retail Vendor Experience (VX) Program teams are seeking a Data Engineer to design and implement scalable data solutions and pipelines that can meaningfully contribute to both programs. This role is pivotal in addressing major challenges that enhance vendor success, satisfaction, and growth on Amazon, contributing directly to our long-term strategy.

Amazon’s mission is to be Earth’s most customer-centric company, where customers can discover anything they want to buy online at competitive prices, with vast selection and convenience. Core to this mission is our commitment to delighting not only customers but also vendors by inventing scalable solutions that exceed expectations. The EU AVS programme provides industry-leading account management services to vendors, optimising cost-to-serve and expediting their growth. The WW VX programme focuses on creating a globally preferred, trusted, and efficient vendor experience across all touchpoints. Both programmes are essential inputs for improving the end-customer experience and Amazon’s long-term free cash flow.

Key job responsibilities

This role will sit within a data and analytics team supporting two large program teams (EU AVS and VX) while working closely with BIEs, scientists, and 15+ Product Managers. As a Data Engineer, you will design, develop, and maintain highly scalable data pipelines and storage solutions to support advanced analytics, machine learning (ML), and artificial intelligence (AI) initiatives. You will be instrumental in ensuring the availability, reliability, and scalability of data systems that drive insights and actions for the AVS Growth Services programme.

Your primary responsibilities will include :

• Data Architecture & Pipelines: Design and implement data pipelines and ETL processes to ingest, process, and manage structured and unstructured vendor feedback data at scale.
• Collaborative Development: Partner with BIEs and scientists to provide clean, production-ready datasets.
• Scalable Solutions: Build and optimise data infrastructure to support the processing of structured and unstructured vendor data.
• Insights & Reporting: Create robust systems for monitoring and reporting on key metrics, enabling cross-functional teams.
• Automation: Automate processes for data collection, validation, and transformation to improve efficiency and accuracy across global vendor touchpoints.

BASIC QUALIFICATIONS

• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience as a Data Engineer or in a similar role

PREFERRED QUALIFICATIONS

• 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)