Empresa:

Avenue Code

Descrição da Função

About the company:

Avenue Code is the leading software consultancy focused on delivering end-to-end development solutions for digital transformation across every vertical. We're privately held, profitable, and have been on a solid growth trajectory since day one. We care deeply about our clients, our partners, and our people. We prefer the word 'partner' over 'vendor', and our investment in professional relationships is a reflection of that philosophy. We pride ourselves on our technical acumen, our collaborative problem-solving ability, and the warm professionalism of our teams.

Avenue Code has been believing in and promoting plurality actions for over 10 years, understanding that recognizing differences and fostering a safe environment, employment opportunities, representation, and support are the best ways to promote an increasingly equitable culture.

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.

Avenue Code reinforces its commitment to privacy and to all the principles guaranteed by the most accurate global data protection laws, such as GDPR, LGPD, CCPA and CPRA. The Candidate data shared with Avenue Code will be kept confidential and will not be transmitted to disinterested third parties, nor will it be used for purposes other than the application for open positions. As a Consultancy company, Avenue Code may share your information with its clients and other Companies from the CompassUol Group to which Avenue Code's consultants are allocated to perform its services.

Observações

Lisboa (Portugal)