Senior Data Engineer (Paris, Madrid, Milan, London, Lux), VX and EU-AVS

Amazon strives to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online. By giving customers more of what they want – low prices, vast selection, and convenience – Amazon continues to grow and evolve as a world-class e-commerce website. Core to Amazon’s mission to delight and serve customers is a need to invent on behalf of vendors. Our team is at the forefront of two pivotal programs, EU AVS and WW VX, each integral to enhancing the end Customer Experience and contributing to Amazon’s Long-Term Free Cash Flow. The EU AVS program aims to provide an industry-leading account management service at the optimal cost-to-serve for Amazon that exceeds vendors’ expectations and expedites their growth on Amazon. The WW VX program vision is to make Amazon the most preferred, trusted, and efficient distribution option for vendors by building an industry-leading experience for every vendor across all global touchpoints.

Key job responsibilities
Our team is looking for an experienced Senior Data engineer to implement and support scalable data infrastructure solutions in one of the world’s largest and most complex data warehouse environments. You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Position can be from Paris, Madrid, Milan, London, Amsterdam or Lux

A day in the life
Your major responsibilities will include:
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
• Explore and learn AWS technologies to provide new capabilities and increase efficiencies.
• Designing and implementing complex pipelines and other BI solutions.
• Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data.

About the team
The AVS and VX program teams are diverse organizations with employees across Europe and with partner teams around the globe. This role can be based in London, Paris, Madrid, or Luxembourg. These teams drive improvements in products, services, tools, processes, communication, and vendor education world-wide working with partner teams in Europe, North America, Japan, and emerging locales and are responsible for all elements of a vendor’s interaction with Amazon including listing, catalog management, ordering, supply chain, marketing, payments, value-added services, and vendor support.

We are open to hiring candidates to work out of one of the following locations:

Madrid, ESP

Basic Qualifications

– Experience in data engineering
– Experience with data modeling, warehousing and building ETL pipelines
– Experience with SQL
– Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
– Experience mentoring team members on best practices

Preferred Qualifications

– Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
– Experience operating large data warehouses

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.