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.