Senior Data Engineer Lisboa

Senior Data Engineer
Lisboa
Lisboa, Lisboa, Portugal

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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
- 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
- service analytics and
- impact business outcomes in a simple and agile manner

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
- 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
- service analytics and
- 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
  - 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
  - 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
  - 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
  
  

• 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
  - prem and cloud environments
• 5+ years of experience in big data engineering, working with
  - scale datasets and building
  - 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
  - solving skills and a proactive, collaborative mindset.
• Full English Proficiency is a
  - have.
  
  

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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