Senior Google Cloud Data Engineer

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The role We are seeking a Senior Google Cloud Data Engineer with a strong background in data engineering and a hands-on approach to driving projects independently from start to finish. This role requires someone who thrives in a proactive environment and can deliver impactful solutions in cybersecurity analytics and anomaly detection. The ideal candidate will have experience in developing dashboards and insights to detect and visualize security threats, including executive-level dashboards. Comfort with Looker Core, BigQuery, SQL, and Python is essential, along with familiarity in Machine Learning for anomaly detection, alerting mechanisms, and data manipulation. This position is onsite in Greater New York City area 3 days per week, and remote 2 days per week. Role responsibilities Drive projects independently, ensuring timely delivery and high-quality outcomes. Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential security threats. Develop dashboards and visuals for operational and executive use, leveraging Looker Core and BigQuery. Implement alerting systems to proactively detect anomalies and security issues. Design and implement data ingestion and transformation pipelines leveraging Google Cloud Dataflow / Apache Beam and BigQuery for analytics and large-scale querying. Implement Machine Learning models (specifically leveraging BigQuery ML or Vertex AI) to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic. Build fault-tolerant, self-healing, adaptive, and highly accurate streaming and batch data pipelines on GCP. Perform data manipulation and analysis to support threat detection and reporting. Collaborate closely with cross-functional teams to ensure data quality, availability, and reliability across cloud environments. Develop and maintain technical documentation for all assigned systems and projects. Must have qualifications To be considered for this role, you must meet the following essential qualifications: Candidates must be legally authorized to work in the United States and must hold either U.S. citizenship or lawful permanent resident (Green Card) status. Strong expertise in: Python - for building data pipelines, processing tasks, and automation SQL - Advanced SQL capabilities (nested fields, analytic functions). Hands-on experience with Core GCP Data Stack: BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery ML (BQML) for implementing logistic regression or k-means clustering on data in-place. Dataflow (Apache Beam): Strong proficiency in writing data pipelines (Python or Java) handling windowing, watermarks, and triggers for streaming data. Pub/Sub: Experience with event-driven architecture and message queuing. Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax. Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization. Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (real-time threat monitoring) and Executives (risk posture and compliance reporting Familiarity with Alerting Frameworks Ability to work independently and drive projects solo with minimal supervision Outstanding soft and communication skills Nice to have qualifications Google Cloud Professional Data Engineer certification Google Professional Machine Learning Engineer certification Google Cloud Professional Cloud Architect certification Bachelor’s or Master’s degree in a quantitative or technical field (e