We are META
Cloud Engineer
Outstaff placement via We Are META: a Cloud Engineer with 6+ years designing cloud-native data solutions on AWS and Databricks, building Spark/Delta Lake/Iceberg pipelines, and automating with Terraform and CI/CD. Hybrid role in Lisbon; requires B2/C1 English and Portuguese/EU citizenship or a valid work permit.
- Compensation
- Not disclosed
- Location
- Lisboa
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Devops
- Posted
Skills
Must have
- 6 years of experience as a Cloud Engineer
- Experience designing, developing, and supporting large-scale cloud-native data solutions on AWS and Databricks
- Experience building and maintaining batch, streaming, and real-time data pipelines with Apache Spark, Databricks, and Delta Lake
- Experience migrating data workloads from Hadoop-based platforms (HDFS, Hive) to cloud-native Lakehouse architectures with Apache Iceberg and Delta Lake
- Developing scalable distributed data processing applications using Python, Java, or Scala within Spark
- Implement Infrastructure-as-Code with Terraform, plus CI/CD pipelines and cloud-native monitoring/observability
- Experience with event-streaming technologies such as Apache Kafka and Flink, and support for AI-driven data platforms including MLOps
- Collaboration with Architects, Product Managers, Data Scientists, and Software Engineers in Agile/Scrum environments
- Fluency in English (at least B2/C1)
- Availability for hybrid model based in Lisbon
- Based in Portugal with Portuguese or EU citizenship, or a valid work permit
Full description
Seeking a Cloud Engineer: Rhino, are you there?At WE ARE META, we focus on finding the perfect match between our Rhinos and our clients.Why join us?1. Expand your network: As a consultant at We Are META, you'll have access to a network of national and international partners across diverse sectors of the tech industry.
- Enjoy our perks: When you join the crash you'll have an array of benefits , to help you achieve the best work-life balance.
- Get your perfect match: Our recruiters do their best to get the best position for you, whether in terms of working policy (remote, hybrid, on-site) or the company's culture .
- Personalized support: With our career coach , we assure that all your needs are being met and you're being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.
Perks of becoming a Rhino:- You'll get a welcome kit
- Opportunities for career progression
- Live on the edge with our health insurance
- Coverflex meal card
- Other protocols and special discounts
For this position, the perfect Rhino should have the following skills: - 6 years of experience as a Cloud Engineer
- Experience in designing, developing, and supporting large-scale cloud-native data solutions on AWS and Databricks to enable scalable, secure, and high-performing data processing supporting AI and analytics workloads.
- Previous experience in building and maintaining robust batch, streaming, and real-time data pipelines using Apache Spark, Databricks, Delta Lake, and related Big Data technologies to process high-volume and high-velocity data workloads.
- Being comfortable leading modernization initiatives migrating data workloads from Hadoop-based platforms, including HDFS and Hive, to cloud-native architectures leveraging modern Lakehouse principles with Apache Iceberg and Delta Lake.
- Experience developing scalable distributed data processing applications using Python, Java, or Scala within Spark and other distributed computing frameworks to optimize performance, data modelling, and query tuning.
- Implement Infrastructure-as-Code using Terraform along with CI/CD pipelines and cloud-native monitoring and observability practices to drive automation, operational efficiency, and cost management.
- Collaborate with Architects, Product Managers, Data Scientists, and Software Engineers in Agile/Scrum environments to define, evaluate, and implement cloud data solutions ensuring compliance with enterprise-scale data governance and security standards.