Graduate Engineers wanted at Datatonic

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Associate Data Engineers wanted at fast-growing Information Technology and Services Firm

Company: Datatonic
Location: London
Roles: Associate Data Engineer

BI Analyst

ML Engineer

Salary: £35,000 base salary + benefits
Start Date: September 2021
Degrees Accepted: STEM
Deadline 20th July
Apply here:


Who is the company?

  • Datatonic specialises in cloud data engineering, advanced analytics and machine learning solutions.
  • Launched in 2016, we have since then been growing exponentially with over 80 Datonites and 5 offices in EMEA.
  • We’ve delivered 200+ projects that have driven real-world, sustained business impact.
  • We work with the likes of Google, Sky, Intel, Looker and many more.


What are the roles?


Data Engineer

You will work with colleagues on the data engineering and architecture part of our consulting projects, building robust pipelines and wrangling data in a way that it becomes easy to visualise and ready to be fed into our machine learning models. In addition to that, you will be helping us to build out the data engineering side of our next-generation machine learning products.


Some of your day-to-day responsibilities will include:

  • Work with the most innovative and most scalable data processing technologies.
  • Build innovative state-of-the-art solutions with our customers.
  • Work closely with our tech partners: Google Cloud Platform, Tableau, Looker.
  • Work in an agile and dynamic environment together with a small team with our data scientists, machine learning experts, data analysts and data engineers.


BI Analyst

  • As an Associate BI Analyst  joining on a 2-year programme, you will specialise in successfully implementing “Looker platform” BI solutions and helping our customers streamline current analytic and reporting processes.
  • You will help deploy analytical data models, advise clients on development, and conduct co-development sessions to share your knowledge with customers.
  • You will share your technical knowledge with clients in a hands-on manner, thriving on working with different clients in just about every industry and proactively contributing to the open-source community.


ML Engineer

You’ll help scale our ML models across large data sets for our customers. You’ll work closely with the team to understand customer needs and find creative ways to utilise machine learning techniques to solve their problem.


Some of your day-to-day responsibilities will include:

  • Taking vague requirements and translating them into models that solve real-world problems.
  • Running machine learning experiments using a programming language with machine learning libraries.
  • Optimizing solutions for performance and scalability.
  • Implementing custom machine learning code.
  • Data engineering, i.e. ensuring a good data flow between database and backend systems.
  • Data science, i.e. analyzing data and coming up with use cases.
  • MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on GCP.


Why should you apply?

  • Competitive starting salary with an excellent package.
  • Opportunity to get hands-on from day one.
  • Rewarding role where you’ll be able to work on international clients.
  • Flat hierarchical structure with an open-office floor plan – no closed office doors here!
  • Join a company that can offer career-minded people professional advancement.
  • Join a company that can offer career-minded people professional advancement. You could work your way up to ‘Experienced’ in year one and ‘Senior’ in year 2.
  • Opportunity to continue on a career path to Principal level and beyond after the 2 years


Who is best suited to these roles?

In order to apply, you must:

  • Have achieved or be on track for at least a 2:1.
  • Have a passion for Technology.
  • Display clarity of thought, as well as strong attention to detail.
  • Be able to maintain high standards of accuracy and demonstrate initiative & self-discipline.
  • Have studied toward a STEM degree (preference for Computer Science, Physics and Data sciences).


It only takes 30 seconds to register your interest in these roles, and we’ll support you throughout the full application process.

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