Requirements

Expected technologies

Google Cloud Platform

SQL

Python

Docker

Kubernetes

Our requirements

• Extensive experience with cloud platforms, particularly Google Cloud Platform (GCP).
• Proficient in programming languages such as Python.
• Strong experience with data pipeline tools such as Google Dataflow.
• Expertise in database technologies including SQL, NoSQL, and data warehousing solutions like BigQuery.
• Knowledge of ETL (Extract, Transform, Load) processes and tools.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with data modeling, data warehousing, and data lakes.
• Strong understanding of data governance, data quality, and data security best practices.
• Demonstrated ability to work in a fast-paced, collaborative environment.
• Excellent problem-solving and analytical skills.
• Excellent communication (verbal and written) skillset in English.
• Bachelor’s or Master’s degree in a related field or 10 years of experience in data engineering related fields.
• Certification in Google Cloud Platform (GCP) data engineering or architecture is a bonus.
• Experience with DevOps practices and tools.
• Experience in the GIS data and Commercial real estate is a bonus.

Your responsibilities

• Design, develop, and maintain scalable data pipelines for various data integration and migration projects.
• Migrate existing on-prem databases and datasets to Google Cloud Platform, ensuring data integrity and security.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize data storage and retrieval processes to improve performance and efficiency.
• Implement best practices for data governance, data quality, and data security.
• Monitor and troubleshoot data pipelines to ensure smooth operation and timely resolution of issues.
• Stay updated with the latest developments in data engineering and cloud technologies and apply them to improve existing systems.
• Provide technical guidance and mentorship to other data engineers and team members.
• Report to EMEA Head of Data Operation & Strategy.