
About Datatonic
Empowering businesses through data and AI expertise
Key Highlights
- Headquartered in Canary Wharf, London, UK
- Clients include Sky, Vodafone, and Lush Cosmetics
- Specializes in MLOps platforms and modern data stacks
- Team of 101-200 employees with diverse 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. ...
π Benefits
Datatonic offers a comprehensive benefits package including a Cycle-to-Work scheme, a Β£100 home equipment allowance, and a pension scheme with a 3% em...
π Culture
Datatonic fosters a culture focused on leveraging data for impactful business decisions. The company emphasizes the importance of MLOps best practices...
Overview
Datatonic is hiring a Data Engineer to develop and optimize data platform solutions. You'll work with Python, Java, and cloud technologies like AWS and Google Cloud Platform. This position is suitable for early-career professionals or those with several years of experience.
Job Description
Who you are
You have a solid foundation in data warehousing or integrations, and you're comfortable working with data pipelines. Whether you're early in your career or already bring several years of experience, you enjoy solving technical problems and want to grow in a modern data engineering environment. Your background in Computer Science, Mathematics, or a related Engineering field equips you with the analytical skills necessary for this role.
You have experience with Python or Java, and you're familiar with tools like Git. Your ability to implement data governance and security best practices is essential, as is your commitment to monitoring and improving data pipeline performance and reliability. You thrive in collaborative environments and are eager to support data scientists, analysts, and fellow engineers in their projects.
What you'll do
As a Data Engineer at Datatonic, you'll develop and optimize data platform solutions that meet the needs of our clients across various industries. You'll support data scientists and analysts by ensuring that data is accessible and reliable, implementing best practices for data governance and security. Your role will involve monitoring data pipeline performance, identifying areas for improvement, and optimizing processes to enhance efficiency.
You'll work closely with a dedicated R&D department that drives innovation in the data space, allowing you to experiment with new approaches and technologies. Your contributions will help shape how we build our solutions, ensuring they are robust, scalable, and future-proof. You'll have the opportunity to collaborate with teams across different cloud platforms, including AWS, Google Cloud Platform, and Azure, leveraging managed services and open-source technologies.
What we offer
We provide a flexible hybrid working model that allows you to balance your professional and personal life. Our benefits include 25+ days of vacation, supplementary health insurance, and a 50% covered MultiSport membership. At Datatonic, we encourage you to innovate and try new approaches, actively shaping how we build our solutions while enjoying a supportive and collaborative work environment.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Datatonic.
Similar Jobs You Might Like
Based on your interests and this role

Data Engineer
Emplifi is hiring a Data Engineer to build and maintain scalable data pipelines and contribute to the company-wide Data Lake. You'll work with technologies like PySpark, AWS, and Databricks. This position requires experience in data engineering and a strong foundation in Python and SQL.

Data Engineer
Point72 is hiring a Data Engineer to manage and optimize data systems. You'll work on data integration and analysis to support business decisions. This role requires expertise in data engineering principles.

Data Engineer
Nebius AI is hiring a Data Engineer to design and maintain robust data infrastructure and pipelines. You'll work with SQL, Python, and Apache Airflow to optimize data workflows. This position requires experience in data engineering and analytics.

Data Developer
TextNow is hiring a Data Developer to design and develop data platforms that support effective data-informed decisions. You'll work in a cross-functional environment to build scalable frameworks. This role requires hands-on experience in data platform development.

Data Engineer
Hatch is seeking a Senior Data Engineer to build and optimize data pipelines that support analytics and AI initiatives. You'll work with technologies like Kinesis, Apache Spark, and Airflow in New York City. This role requires proven software development experience and expertise in building production APIs.