HubMub
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Avenue Code

Senior Data Engineer

Avenue Code
Portugal · Full-time · Mid-Senior
About The Opportunity

We are looking for Senior Data Engineers to join our growing Data Insights team and help design and scale data platforms that power decision-making across the business. Success in this role comes from marrying a strong data engineering background with product and business acumen to deliver scalable data pipelines and solutions that can self-service analytics and high-impact business outcomes in a simple and agile manner

This is a hybrid position in Lisbon.

Responsibilities

  • Design and implement data solutions that span across on-premise, cloud, or hybrid environments, ensuring scalability, security, and compliance across infrastructure boundaries
  • Develop and maintain robust data architecture and infrastructure for capturing, managing, storing, and utilizing structured and unstructured data from internal and external sources
  • Create technical tools and automation that leverage big data techniques to cleanse, organize, and transform data, while ensuring data quality and integrity
  • Collaborate closely with cross-functional teams—including Engineering, Product, Finance, Sales, Marketing, and Customer Experience—to align data initiatives with business needs
  • Ability to design application components and evolve architecture including UI, API/Services, Data Access, Integration, Application components etc
  • Work directly with business and product stakeholders to ensure data solutions meet business objectives and deliver high-quality outcomes
  • Analyse platform requirements and provide support for Data Science teams and their workflows
  • Build and maintain tools to automate platform monitoring, proactively scale infrastructure, and resolve issues before they impact performance

Required Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • Experience implementing and maintaining hybrid data architectures, including data synchronization and security across on-prem and cloud environments
  • 5+ years of experience in big data engineering, working with petabyte-scale datasets and building large-scale data solutions
  • Proven experience with tools and technologies such as Google Cloud Platform, Apache Spark, Airflow, Kafka, Scala, and Python
  • Familiarity with CI/CD pipelines and automation frameworks
  • Hands-on experience with containerization and orchestration tools like Docker and Kubernetes
  • Strong problem-solving skills and a proactive, collaborative mindset.
  • Full English Proficiency is a must-have.

Nice To Have Skills

  • Experience with Go (Golang).
  • Experience in the Internet security industry is preferred.

Key Skills

Ranked by relevance

cloud big data google cloud platform containerization docker apache golang scala kafka spark cicd ui
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Country Guide

Portugal

Startup-friendly with strong expat appeal

Posted
Jul 25, 2025
Type
Full-time
Level
Mid-Senior
Location
Lisbon
Company
Avenue Code

Industries

IT Services IT Consulting

Categories

Information Technology

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