Data Engineer EU AVSVX
Data Engineer EU AVSVX
Posted on :
15-03-2025
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1 Vacancy
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Job Description
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 longterm strategy.
Amazons mission is to be Earths most customercentric 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 industryleading account management services to vendors optimising costtoserve 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 endcustomer experience and Amazons longterm 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 productionready 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 crossfunctional teams.
Automation: Automate processes for data collection validation and transformation to improve efficiency and accuracy across global vendor touchpoints.
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience as a Data Engineer or in a similar role
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 to know more about how we collect use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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 youre applying in isnt listed please contact your Recruiting Partner.
Amazons mission is to be Earths most customercentric 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 industryleading account management services to vendors optimising costtoserve 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 endcustomer experience and Amazons longterm 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 productionready 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 crossfunctional teams.
Automation: Automate processes for data collection validation and transformation to improve efficiency and accuracy across global vendor touchpoints.
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience as a Data Engineer or in a similar role
Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
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 to know more about how we collect use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
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 youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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