Summary
A data and AI engineering consultancy is seeking an experienced Data Engineer to design, build, and optimize scalable cloud data platforms. You will develop reliable pipelines and ETL/ELT solutions, support analytics and machine-learning teams, apply governance and security practices, and solve complex technical and business challenges with clients.
Highlights
Build modern cloud data platforms, collaborate with experienced specialists, work on varied client challenges, and receive flexible hybrid work plus strong vacation and health benefits.
Description
Shape the Future of AI & Data with Datatonic
At Datatonic, we're proud to be one of Google Cloud's leading AI and Data partners, helping some of the world's most innovative companies turn data into a competitive advantage.
We design and build modern data platforms, AI solutions, and analytics capabilities using the latest Google Cloud technologies.
Joining Datatonic means more than just working on exciting projects, it means having the opportunity to learn directly within the Google Cloud ecosystem, work with cutting-edge data technologies, and develop your expertise alongside some of the industry's leading engineers and architects.
Your Mission
As a Data Engineer, you'll help clients unlock the full potential of their data by designing, building, and optimizing modern data platforms.
You'll work with technologies such as Google Cloud, BigQuery, dbt, Looker, Snowflake, Fivetran, Python, Spark, Pub/Sub, and Sigma, delivering scalable, reliable, and impactful solutions.
You'll collaborate closely with Delivery Managers, Data Scientists, Machine Learning Engineers, Analytics Engineers, and Software Engineers while contributing hands-on to the codebase and helping shape best practices across projects.
What You'll Do
Design, build, and optimize scalable data pipelines and platforms.Develop modern ELT/ETL solutions using cloud-native technologies.Support data scientists, analysts, and engineering teams with high-quality data solutions.Implement data governance, security, and reliability best practices.Monitor, troubleshoot, and continuously improve data platform performance.Work directly with clients to solve complex technical and business challenges.
What We're Looking For
Required
Degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.5+ years of experience in Data Engineering or a similar role.Experience building and maintaining data integrations and pipelines.Backend software development experience.Familiarity with DevOps practices.Professional proficiency in English.
Nice to Have
Experience with Google Cloud or other major cloud platforms.Knowledge of the Modern Data Stack (dbt, Snowflake, BigQuery, Looker, Fivetran, etc.).Experience with Spark or other big data technologies.Familiarity with Infrastructure as Code (Terraform or Pulumi).Bash scripting and automation.Experience with Docker and/or Kubernetes.
Why Join Datatonic?
🚀 Learn from Google Cloud experts – As a leading Google Cloud partner, you'll gain hands-on experience with the latest cloud data and AI technologies while working alongside certified specialists.
🤝 Collaborative culture – Join a team passionate about engineering excellence, knowledge sharing, and innovation.
🏡 Flexible hybrid working – Spend 2–3 days a week in our Zagreb office while enjoying flexibility for focused work.
💙 Great benefits – 27 vacation days, supplementary health insurance, and a 50% subsidized MultiSport membership.
If you're passionate about building modern data platforms, enjoy solving complex technical challenges, and want to grow your career with one of Google Cloud's leading AI & Data partners, we'd love to hear from you.
