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.