Senior Google Cloud Data Engineer

Why Valtech? We’re advisors, visionaries, creative and techies. We embrace all things digital. We talk to each other. We have fun. We love our clients. We’re looking ahead • We are global 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 opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. tel? 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 New York City (Brooklyn 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 andAttempts for 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 Professional Machine Learning Engineer certification Google Cloud Professional Cloud Architect certification Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics) Working knowledge of cloud architecture components in GCP Proficiency in Big Data environments and tools such as Spark, Hive, Impala, Pig, etc. Proficiency in Terraform Familiarity with front and back‑end web application stacks and frameworks, and API design and usage (REST/GraphQL) Experience leading and managing technical data/analytics/machine learning projects If you do not meet all the listed qualifications or have gapsReceiving, we still encourage you to apply. At Valtech, we recognize that talent comes in manyforms, and we value diverse perspectives and a willingness to learn. Commitment to reaching all kinds of people We design experiences that work for all kinds of people – and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity &Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits This is a full‑time position based in NewYork, United States. The offered salary range is $170,000‑240,000 annually, depending on experience and location. Beyond a competitive compensation package, we offer: Flexibility, with remote and hybrid work options (country‑dependent) Career advancement, with international mobility and professional development programs Learning and development, with access to cutting‑edge tools, training and industry experts Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us. For applicants in California, please see Valtech's CPRA Privacy Notice here. Let’s connect Fill in your details and kickstart your transformation journey. Should you need an alternative format and/or communication support to provide feedback please contact Sheree Atcheson. #J-18808-Ljbffr Valtech