Entra a far parte del team di NIKE, Inc.
NIKE, Inc. è molto più di un brand che veste e attrezza gli atleti e le atlete migliori al mondo: è un luogo in cui persone appassionate si incontrano per creare il futuro dello sport. Sappiamo bene chi siamo e cosa vogliamo: portare innovazione e ispirazione a ogni atleta* nel mondo. Cerchiamo Athlete capaci di alzare l'asticella, esprimere al massimo il nostro potenziale e guidarci verso l'eccellenza. Una generazione pronta a dettare i trend e le regole del gioco, ad assumersi rischi e a creare spirito di squadra. Ti riconosci?
WHO YOU WILL WORK WITH
You will be a part of the larger Global Technology organization working on Nike’s internal Supply Chain and Planning Technology (SCPT). You will work day-to-day with a team of engineers, the team’s Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals
WHO WE ARE LOOKING FOR
We are seeking a highly skilled Lead Software Engineer with deep expertise in Data Engineering, Advanced SQL development, Python programming, GenAI Skills and practical DevOps experience. This role will lead the design, development, and optimization of enterprise-scale data platforms, enabling data-driven decision making through reliable, scalable, and high-performance data solutions. The ideal candidate combines strong hands-on engineering capabilities with technical leadership, mentoring, architectural thinking and the ability to collaborate across product, analytics, platform and business teams.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.
8+ years of software engineering experience with significant focus on Data Engineering.
Expert-level SQL skills with experience writing and optimizing complex analytical queries.
Strong programming expertise in Python.
Experience designing and operating large-scale data platforms and pipelines.
Hands-on experience with cloud technologies (AWS, Azure, or GCP).
Experience with modern data processing frameworks such as Spark, Databricks, EMR, Snowflake, or equivalent.
Experience with Kubernetes, Docker, Terraform, or CloudFormation.
Exposure to streaming technologies such as Kafka, Kinesis, or Event Hubs.
Experience building observability and monitoring solutions.
Familiarity with AI/ML data pipelines and GenAI-enabled platforms.
Experience leading enterprise-scale platform modernization initiatives.
Practical experience with DevOps practices including CI/CD, infrastructure automation, monitoring and deployment pipelines.
Strong understanding of distributed systems, scalability, reliability and performance engineering.
Excellent communication, stakeholder management and leadership skills.
WHAT YOU’LL WORK ON
Data Engineering & Architecture
Design, develop and maintain scalable data pipelines supporting batch and near real-time processing workloads.
Build and optimize data ingestion, transformation and data serving frameworks across large-scale data ecosystems.
Lead data modelling initiatives, including dimensional, relational and analytical data structures.
Ensure high standards of data quality, governance, reliability and operational excellence.
Drive modernisation initiatives across data platforms, tooling and engineering practices.
Software Development
Develop robust, maintainable and reusable solutions using Python and related frameworks.
Build APIs, automation solutions, and platform services supporting enterprise data products.
Apply software engineering best practices including design patterns, test automation, code reviews and CI/CD.
SQL & Performance Engineering
Write and optimize complex SQL queries, stored procedures, views and analytical workloads.
Perform query tuning, execution plan analysis and performance optimization.
Design efficient ELT/ETL solutions ensuring scalability and reliability.
DevOps & Platform Engineering
Implement CI/CD pipelines for data and application deployments.
Automate infrastructure provisioning, monitoring, alerting and operational workflows.
Work with containerization and cloud-native technologies to improve deployment efficiency.
Support production systems through observability, reliability, and operational best practices.
Leadership & Collaboration
Provide technical leadership for a team of software and data engineers.
Drive architecture reviews, technical roadmap planning, and engineering excellence initiatives.
Mentor engineers and foster a culture of innovation, ownership, and continuous improvement.
Partner with business stakeholders, product teams, architects, and cross-functional engineering teams to deliver impactful solutions.
IL NOSTRO PIANO DI ASSUNZIONE
01 Candidati
I nostri team sono composti da persone che apportano un'ampia varietà di competenze, conoscenze, input, idee e background. Vogliamo aiutarti a trovare il tuo posto: rivedi le descrizioni delle posizioni, i reparti e i team per trovare il ruolo adatto a te.
02 Incontra un/una recruiter o completa una valutazione
Se selezionato per un ruolo aziendale, un reclutatore ti contatterà per avviare il processo di colloquio e sarà il tuo contatto principale durante tutto il processo. Per i ruoli di vendita al dettaglio, completerai una valutazione interattiva che include una chat e quiz e richiederà circa 10-20 minuti per essere completata. Indipendentemente dal ruolo, vogliamo conoscere te, la tua totalità, quindi non esitare a scoprire il modo in cui ti avvicini a un servizio di livello mondiale e ciò che ti rende unico.
03 Preparati per il colloquio
Affronta questa fase con sicurezza, facendo le tue ricerche, comprendendo cosa stiamo cercando e preparandoti a rispondere alle domande che sono state ideate per saperne di più su di te e sul tuo background.
