Data Engineer

Job description

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.