Datatonic

About Datatonic

Empowering businesses through data and AI expertise

👥 101-200 employees📍 Canary Wharf, London, UK3.9
B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningSaaS

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. ...

🎁 Benefits

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...

🌟 Culture

Datatonic fosters a culture focused on leveraging data for impactful business decisions. The company emphasizes the importance of MLOps best practices...

Datatonic

Data Engineer Senior

DatatonicCanada

Posted 1 month agoSeniorData Engineer📍 Canada💰 CA$110,000 - CA$140,000 / yearly
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Overview

Datatonic is hiring a Senior Data Engineer to shape the future of AI and data solutions. You'll work with technologies like dbt, Looker, and Google Cloud to build scalable data pipelines and support analytics teams. This role requires expertise in data engineering and cloud platforms.

Job Description

Who you are

You have 5+ years of experience in data engineering, with a strong focus on building scalable data solutions that drive business insights. Your expertise in cloud platforms, particularly Google Cloud, allows you to design and implement robust data pipelines that meet client needs. You are proficient in tools such as dbt, Looker, and Snowflake, and you understand how to leverage these technologies to optimize data workflows. Your collaborative mindset enables you to work effectively with analytics and data science teams, ensuring that the solutions you build are impactful and user-friendly. You are comfortable with programming languages like Python and have experience with data processing frameworks such as Spark. You thrive in environments that encourage innovation and are eager to contribute to projects that push the boundaries of technology.

Desirable

Experience with Fivetran and Pub/Sub is a plus, as these tools can enhance your ability to create seamless data integration solutions. Familiarity with machine learning concepts will also be beneficial as you work on projects that intersect with AI and data analytics.

What you'll do

As a Senior Data Engineer at Datatonic, you will play a crucial role in shaping the future of AI and data for our clients. You will be responsible for building and optimizing data pipelines that facilitate the flow of information across various platforms. Your work will support analytics and data science teams, enabling them to deliver innovative solutions that drive business transformation. You will assist clients in migrating their existing data solutions to Google Cloud, ensuring a smooth transition and minimal disruption to their operations. Your hands-on contributions to the codebase will be essential, as you will be involved in the design and implementation of data infrastructure that meets the evolving needs of our clients. You will collaborate closely with project teams and a Delivery Manager to ensure that all solutions are well-engineered and deliver measurable impact.

What we offer

At Datatonic, we foster a culture of innovation and collaboration. You will have the opportunity to work alongside AI enthusiasts and data experts who are passionate about shaping the future of technology. We offer a competitive salary range of CAD 110,000 to CAD 140,000, reflecting your skills and experience. Our team is dedicated to professional growth, and we encourage you to apply even if your experience doesn't match every requirement. Join us to make a significant impact in the world of data and AI.

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