About Devoteam
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on the people and the world around us. We are a global leading player in Digital Transformation for leading organisations across EMEA, with a revenue of €1B.
Responsibilities
•Design, build, and maintain scalable data pipelines and ETL/ELT processes using core GCP data services such as Cloud Dataflow (Apache Beam), Cloud Dataproc, and BigQuery.
•Develop and optimize data infrastructure on GCP to ensure reliable, high-speed data ingestion (e.g., using Cloud Pub/Sub and Cloud Storage).
•Implement data quality checks, monitoring, and validation to ensure accuracy and integrity of data across all GCP systems.
•Collaborate closely with Data Scientists and Data Analysts to ensure data readiness for reporting, analytics, and Machine Learning initiatives (e.g., integrating with Vertex AI).
•Automate deployment, monitoring, and testing of data infrastructure and pipelines using Infrastructure as Code (IaC) tools like Terraform and CI/CD practices.
•Manage and optimize GCP data storage solutions, primarily BigQuery (data warehouse) and Cloud Storage (data lake), for performance and cost efficiency.
•Provide technical guidance and recommendations on data architecture and technology choices within the GCP ecosystem.
Requirements
•3+ years of proven experience as a Data Engineer, focusing heavily on building production-grade data pipelines.
•Mandatory hands-on expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Dataflow, Cloud Storage, and Cloud Pub/Sub.
•Strong proficiency in SQL and extensive experience with data warehousing concepts and data modeling techniques.
•Expertise in at least one programming language commonly used for data engineering (Python is highly preferred).
•Experience with Infrastructure as Code (IaC) tools like Terraform for automating GCP data infrastructure deployment.
•Solid understanding of distributed systems and ETL/ELT frameworks.
•Excellent analytical and problem-solving skills, with a passion for continuous learning and data governance.
Nice to have
•Google Certified Professional Data Engineer certification.
•Experience with streaming data technologies and real-time processing within GCP.
•Knowledge of containerization and orchestration (Docker, Kubernetes/GKE).
Conditions
No conditions stated in the posting.
