Data Engineer

Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission Data Engineers at Datatonic work across a wide range of projects, helping clients unlock the full potential of the Modern Data Stack. You’ll bring expertise in our technologies of choice - dbt, Looker, Snowflake, BigQuery, Google Cloud, Sigma, Fivetran, Python, Spark, Pub/Sub - and apply them to solve real client challenges. In this role, you’ll collaborate closely with a Delivery Manager, support project teams, and make hands-on contributions to the codebase where needed. Our Data Engineers combine strong technical skills with a client-focused mindset, ensuring that data solutions are not only well-engineered but also deliver measurable impact. Job Description We’re looking for a Data Engineer to join our team - someone who’s comfortable working with data pipelines, enjoys solving technical problems, and wants to grow in a modern data engineering environment. Key Responsibilities Develop and optimize data platform solutions Support data scientists, analysts, and fellow engineers Implement data governance and security best practices Monitor and improve data pipeline performance and reliability Basic Qualifications Background in Computer Science, Mathematics/Statistics, or a related Engineering field Experience working with data integrations At least 5 years of relevant experience Experience in backend software development Experience with DevOps processes Fluent English Bonus Skills Experience with cloud platforms Knowledge of the modern data stack Familiarity with big data technologies (Hadoop, Spark, etc.) Basic experience with Infrastructure as Code (Terraform, Pulumi) Bash scripting and automation Basic experience with Docker or Kubernetes Why Datatonic? Join a team of AI enthusiasts where innovation is embedded in everything we do. In our Zagreb hub, you’ll enjoy: Learning & Growth: Access to the MLE Accelerator Program, generous conference budgets, and continuous learning platforms. Flexibility: A hybrid working model (2–3 days in the office) to balance focus and collaboration. Wellbeing: Supplementary health insurance and 50% covered MultiSport membership. Holiday: 27 days of vacation.