Cloud Engineer (AWS/Databricks)

Location: Hybrid, based in Lisbon, Portugal. Candidates must be based in Portugal and have Portuguese or EU citizenship, or a valid work permit.

Company

hirify.global is a technology consultancy connecting consultants with national and international technology partners across diverse sectors.

What you will do

• Design, develop, and support large-scale cloud-native data solutions on AWS and Databricks for scalable, secure, high-performing AI and analytics workloads.
• Build and maintain batch, streaming, and real-time data pipelines using Apache Spark, Databricks, Delta Lake, and related Big Data technologies.
• Lead modernization initiatives migrating Hadoop-based workloads, including HDFS and Hive, to cloud-native Lakehouse architectures using Apache Iceberg and Delta Lake.
• Develop distributed data-processing applications and optimize performance, data modeling, and query tuning.
• Implement Infrastructure-as-Code with Terraform, CI/CD pipelines, cloud-native monitoring, and observability practices.
• Collaborate with Architects, Product Managers, Data Scientists, and Software Engineers in Agile/Scrum environments to deliver governed and secure cloud data solutions.

Requirements

• At least 6 years of experience as a Cloud Engineer.
• Experience designing, developing, and supporting cloud-native data solutions on AWS and Databricks.
• Experience building batch, streaming, and real-time data pipelines with Apache Spark, Databricks, Delta Lake, and related Big Data technologies.
• Experience with Hadoop-based platforms, including HDFS and Hive, and cloud-native Lakehouse principles with Apache Iceberg and Delta Lake.
• Experience developing scalable distributed data-processing applications using Python, Java, or Scala with Spark and other distributed computing frameworks.
• Experience with Terraform, CI/CD, cloud-native monitoring, observability, automation, operational efficiency, and cost management.
• Ability to collaborate with cross-functional stakeholders in Agile/Scrum environments and ensure enterprise-scale data governance and security compliance.
• Experience evaluating and incorporating event-streaming technologies such as Apache Kafka and Flink, and supporting AI-driven data platforms including MLOps.
• Fluent English at least at B2/C1 level.
• Availability for a hybrid model while based in Lisbon, Portugal, with Portuguese or EU citizenship or a valid work permit.

Culture & Benefits

• Consulting work with access to national and international technology partners.
• Personalized support from recruiters and a career coach.
• Welcome kit and career progression opportunities.
• Health insurance and Coverflex meal card.
• Additional protocols and special discounts.