Data Architect (m/f/d)
Adidas
Porto, 13, PT
há 3 dias

Data & Analytics

Every day, all over the world, products we create break records or set trends. Our brands help every kind of athlete to perform better, play better and feel better.

Our IT teams create business success by building most innovative solutions that shape the future. In a digital world data is at the centre of everything, and IT is a critical touchpoint for millions of consumers and our employees.

Whenever it gets tricky we tackle challenges together as a global team.

We need top talent to further build a high performing team. If you want to be a part of creating the new IT that challenges us to grow and stay competitive, start your career with us now.

WHAT YOU CAN EXPECT :

  • Being part of our team that delivers unseen Insights generated from Data
  • Creating the data backbone powering Analytics and AI solutions that help decision making for SCM, Product Creation, Demand Forecasting, Pricing, Brand Campaign design and more
  • Guiding and supporting teams though all stages of AI / ML Applications lifecycle from discovery to real-time serving
  • Providing technical thought leadership and advising teams of Data Engineers, Analysts and Scientists in the space of data architecture, data management and analytics
  • Sport-friendly, diverse and flexible working environment...with a focus on fun at work!
  • Competitive salary and huge discounts on adidas and Reebok products
  • WHAT WE ARE LOOKING FOR

  • A passionate Coach who can share their knowledge and best practices with peers
  • An Architect who sees a big picture and can deliver high complexity products and scale them to the big organization
  • An Engineer who can design and guide various teams across all stages of AI / ML Applications from discovery stage though training and testing all the way to real-time serving and monitoring
  • A Developer able to create state of the art data capabilities for our BI and AI applications
  • An Expert in Data Warehousing principles and techniques, database technologies (In-memory, MPP), Big Data frameworks (Hadoop, Spark)
  • Experienced Integrator of real-time and batch data ingestions, both in on-prem and cloud (AWS) ecosystems
  • Experience with Databricks or open-source Delta Lake and MLFlow is very welcomed
  • Experience in algorithms, especially in the field of ETL / ELT of the data coming from relational world
  • Experience in software engineering best practices (design patterns, test-driven development and clean code)
  • Experience in Data Science and Machine Learning applications, understanding MLOps concepts
  • Customer / Product focused DevOps mindset and hands-on experience of CI / CD workflows
  • Collaboration, stakeholder management, and excellent communication skills in English
  • What are we offering?

  • Competitive salary, bonus, and benefits
  • Hybrid work policy and flexible working hours
  • Sports and work-life balance incentives
  • Upskilling and internal growth (local and international)
  • International and diverse work environment
  • State-of-art office space and conditions
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