Data Engineer (Cloud)

About

Description

As a Data Engineer at 5CA, you will play a key role in scaling our data landscape to support business growth. You will be responsible for building and maintaining data models and pipelines, ensuring smooth data processing that enables our analytics teams to operate efficiently. You'll also contribute to the development of our next-generation cloud Data Platform, driving improvements in data reliability, efficiency, and quality. We offer the flexibility to work 100% remotely in a fast-paced, international environment with diverse teams and cutting-edge digital tools. Join a company where your work truly matters and your uniqueness is celebrated.

Responsibilities

• Design, deploy, and manage scalable solutions using cloud platforms such as Azure and Databricks
• Integrate data sources with Data Lake storage using Azure Data Factory (ADF) pipelines and perform ETL activities with Notebooks
• Collaborate with data professionals to ensure effective and efficient data usage
• Research, recommend, and implement new technologies and continuous improvements
• Ensure scalability and adaptability of the data landscape
• Maintain smooth data processing workflows for optimal analytics performance
• Proactively improve data reliability, efficiency, and quality
• Independently design and maintain data models and pipelines

Qualifications

• Master’s degree in Computer Science, Information Technology, or equivalent experience
• Minimum of 3 years’ experience in Data Engineering
• Proficient in Spark, ADF, Python, and T-SQL
• Strong skills in PySpark and Spark SQL
• Experience with API interfaces, JSON ingestion, CI/CD pipelines (Azure DevOps), and Databricks
• Knowledge of Microsoft Azure ecosystem
• Experience with PowerShell and tools like PowerBI, GenAI, or Fabric (nice to have)
• Business acumen and ability to align data solutions with company goals
• Strong collaboration, communication, and presentation skills
• Able to work in the CET time zone
• Ownership and accountability for delivering complete data solutions

Application instructions:

• To apply, simply click the apply button.