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Cloud Engineer

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Summary

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.

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.

2. Enjoy our perks: When you join the crash you'll have an array of benefits , to help you achieve the best work-life balance.

3. 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 .

4. 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.

- Evaluate and incorporate event-streaming technologies such as Apache Kafka and Flink and support AI-driven data platforms including MLOps to advance Marketing Services' cloud and data strategy.

- Fluency in English (at least a B2/C1 level)

- Availability for Hybrid model (based in Lisbon)

- Being based in Portugal with Portuguese or EU citizenship, or a valid work permit

If you're ready to join the crash and become a Rhino, please click here and fill out the form!

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