20 publicaciones de empleo destacadas de data center engineer en barcelona, ct (¡Están contratando!)

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Ekkiden —Barcelona, Barcelona provincia
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Supplier Quality inspector - PREFAB DATA CENTERS
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Schneider Electric —Barcelona, Barcelona provincia
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Allianz —Barcelona, Barcelona provincia
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Schneider Electric —Barcelona, Barcelona provincia
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Super Micro Computer —Barcelona, Barcelona provincia
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Team Lead, R&D ISS Global Support Center
Roche —Sant Cugat del Vallès, Barcelona provincia
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Initiumsoft —Barcelona, Barcelona provincia
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Microsoft —Barcelona, Barcelona provincia
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Data and model software engineer (RE1)
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- Jornada completa
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Business Intelligence Engineer, NFT

Amazon EU SARL (Spain Branch) -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa

Cualificaciones

Microsoft Excel
Oracle
R
NoSQL
Tableau
Java
SQL
AWS
JavaScript
Scripting
ETL
Cloud
Redshift
Python

Descripción completa del empleo

DESCRIPTION

Are you interested in a high-impact role with exposure to senior leaders? The EU Network Flow and Technologies (NFT) team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in network operations and fulfillment center flow management. Collaborating closely with Amazon Fulfillment Center Operations, Transportation Services, and data teams, you will be responsible for developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and insights to optimize end-to-end network flows.

Key job responsibilities
As a Business Intelligence Engineer, your responsibilities include:

Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable pipelines and tech solutions that support network capacity management and flow optimization.
Prioritizing initiatives, designing and implementing technical solutions with appropriate strategies and design principles to enable real-time network monitoring and decision-making.
Driving best practices in Operational Excellence while supporting intraweek capacity management, risk mitigation, and automation initiatives across EU fulfillment centers.

Ideal candidate: Strong in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions and network optimization.

A day in the life
You'll start by reviewing network flow metrics across EU fulfillment centers, identifying capacity risks needing immediate attention. Throughout the day, you'll partner with operations teams to translate pain points into technical solutions- building ETL pipelines, refining dashboards, and automating manual processes.

Expect to move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting. You might present findings to operations managers one hour, then collaborate with data engineers on pipeline optimization the next. During peak periods, you'll respond to urgent requests while balancing long-term scalable solutions.

Beyond core responsibilities, you'll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions.

About the team
The EU Network Flow and Technologies (NFT) team optimizes end-to-end network operations across European fulfillment centers, partnering with operations to balance cost, service, and speed. We manage intraweek capacity, performance, and labor across all volume flows, driving tech solutions and automation as trusted partners to local teams.

Our focus spans network flow management through real-time signals, BI analytics and dashboards for FC operations, risk management tools to identify performance and capacity defects, and continuous automation innovation. We embrace data-driven evolution, refusing the status quo to deliver network execution excellence through iterative improvements and scalable solutions.

BASIC QUALIFICATIONS

Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
Experience with scripting language (e.g., Python, Java, or R)
Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
Experience with data visualization using Tableau, Quicksight, or similar tools

PREFERRED QUALIFICATIONS

Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with statistical analysis, co-relation analysis

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.

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 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.

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