Data Engineer
Role Overview
As a Data Engineer at Datatonic, you will develop optimized data platform solutions, support data scientists and engineers, and implement data governance practices. This mid-level role involves monitoring and improving data pipeline performance, requiring 2+ years of experience in data integrations and backend development. You will work within a consultancy team to build scalable data architectures for diverse client projects.
Perks & Benefits
This is a fully remote position with opportunities for continuous learning, including certification plans and access to an extensive library. You can engage in diverse projects, bring fresh ideas, and participate in company social activities like the Sports and Social Club. The role offers an attractive salary and benefits, fostering a culture of innovation and professional growth.
Full Job Description
About Us
Syntio, a Datatonic company, brings together data engineering experience with strong cloud and AI expertise to solve complex data problems. We design and build scalable data platforms, and help organizations make practical, effective use of their data. Our teams work on real-world challenges for clients across different industries, using modern cloud technologies and engineering best practices.
Our work spans all major public cloud providers - AWS, Google Cloud Platform, and Azure - where we combine managed services with open-source technologies to design robust, scalable, and future-proof data platforms.
Innovation drives everything we do. Our dedicated R&D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.
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. Whether you’re early in your career or already bring several years of experience, we’re looking for people with a solid foundation in data warehousing or integrations, experience with Python or Java, and familiarity with tools like Git.
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 1–2 years of relevant experience
Experience in backend software development
Familiarity 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 Join Us?
At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.
Benefits we offer include:
25+ days of vacation, depending on role and progression
Supplementary and additional health insurance
50% covered MultiSport membership
Hybrid working model for flexibility and balance
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