Join Us in Shaping the Future of AI & DataAt Datatonic, recognized as Google Cloud's premier partner in AI, we are at the forefront of technological transformation for prestigious businesses. Our expertise lies in machine learning, data engineering, and analytics, leveraging the capabilities of Google Cloud Platform. By collaborating with us, our clients enhance their operations, gain actionable insights, and remain competitive in an ever-changing landscape.Your RoleAs a Senior Data Engineer at Datatonic, you will engage in diverse projects aimed at maximizing the potential of the Modern Data Stack. You will utilize your skills in our preferred technologies including dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Python, Spark, and Pub/Sub to address complex client challenges.In this capacity, you will work closely with a Delivery Manager, assist project teams, and contribute directly to the codebase as necessary. Our Data Engineers merge strong technical acumen with a client-centric approach, ensuring that data solutions are not just well-constructed but also yield substantial outcomes.Your ResponsibilitiesSupport for Analytics and Data Science Teams: Develop the necessary infrastructure for analytics and data science teams to produce innovative and impactful client solutions.Facilitate Google Cloud Migration and Data Warehouse Solutions: Aid clients in transferring their existing business intelligence and data warehouse solutions to Google Cloud.Create Scalable Data Pipelines: Design, develop, and optimize robust data pipelines to ensure easy access to data for visualization and machine learning applications.Design and Implement Data Warehouses and Data Marts: Create new solutions for data warehouses and data marts, focusing on:Data transformation, testing, deployment, and documentation.Understanding various data modeling techniques.Optimizing and storing data suitable for warehouse technologies.Manage Cloud Infrastructure: Design, maintain, and troubleshoot cloud-based infrastructure to ensure optimal performance and availability.Collaborate with Technology Partners: Work with technology partners to enhance project outcomes.
Jan 8, 2026