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Cloud Data Engineer (AWS) at Alongside

Porto, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Data Engineering, AWS, Data Pipelines, Lakehouse Architectures, ETL Workflows, Airflow, Python, SQL, Spark, DevOps, CI-CD, AWS Services, Terraform, CloudFormation, Docker, Linux

Industry

Software Development

Description

We’re looking for a Cloud Data Engineer (AWS) to join our client’s data team in the financial markets sector, helping design and deliver scalable, secure, and high-performing data solutions in the cloud. Key Responsibilities Design and develop data pipelines and Lakehouse architectures (Iceberg; Hudi/Delta as a plus) on AWS and other public clouds. Build, automate, and maintain ETL workflows using Airflow, Step Functions, and related orchestration tools. Ensure high standards of reliability, automation, and security across all data solutions. Contribute to data strategy, architecture, and implementation best practices. Support incident resolution, root cause analysis, and share knowledge within delivery teams. Collaborate closely with architects, developers, and analysts. 3–5 years of experience building data pipelines on AWS (Azure/GCP a plus). Strong background in data solution design, ETL, and data architecture. Proficiency with Python, SQL, Spark, and DevOps/CI-CD practices. Experience with AWS services: Lambda, Glue, Step Functions, DynamoDB, Batch. Familiarity with Terraform or CloudFormation for Infrastructure as Code. Experience with Lakehouse architectures (Iceberg preferred) and pipeline orchestration. Knowledge of networking, IAM, and security within cloud environments. Experience with Docker and Linux environments preferred. Fluent in English; French is a plus. Employment Contract; Health Insurance; Meal Card; Gym Ticket; Hybrid Work (Porto, Portugal)

Responsibilities

Design and develop data pipelines and Lakehouse architectures on AWS and other public clouds. Collaborate closely with architects, developers, and analysts to ensure high standards of reliability, automation, and security across all data solutions.