Empowering businesses through data and AI expertise
Datatonic is a leading data and AI consulting firm headquartered in Canary Wharf, London. Since its founding in 2013, Datatonic has partnered with major clients like Sky, Vodafone, and Lush Cosmetics to build high-performing MLOps platforms that enhance decision-making and operational efficiencies. ...
Datatonic offers a comprehensive benefits package including a Cycle-to-Work scheme, a £100 home equipment allowance, and a pension scheme with a 3% em...
Datatonic fosters a culture focused on leveraging data for impactful business decisions. The company emphasizes the importance of MLOps best practices...
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.
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.
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
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
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
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.
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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