Description

As Google Cloud's premier partner in AI, we provide world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems.

As a 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.

Furthermore, you will:

  • 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, dbt, 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

Requirements

  • Strong programming and architectural experience, ideally in Python and/or Java, and SQL
  • 2+ years of experience building (big) data solutions
  • Extremely passionate about data and analytics
  • Experience with ETL tools, Hadoop-based technologies (e.g. Spark) and/or data pipelines (e.g. Beam, Flink)
  • Experience building scalable and high-performant code
  • Experience in producing tested, resilient and well documented applications
  • The ability to take ownership, end-to-end and finding creative solutions
  • Experience in architecting, building, maintaining and troubleshooting cloud infrastructure
  • Excellent interpersonal skills, verbal and written communication skills; a team player and keen learner who loves building great things together
  • Working experience with Google Cloud or Amazon Web Services (AWS) would be beneficial but not essential
  • BSc or MSc degree in Computer Science or a related technical field

Bonus Points:

  • Love for the command line with optional affinity for Linux scripting
  • Experience building scalable REST APIs using Python or similar technologies
  • Experience with Agile methodologies such as Scrum
  • Basic knowledge of and ideally some experience with data science topics like machine learning, data mining, statistics, and visualisation
  • Contributions to open source projects

 

Benefits:

The Basics: 25 days holiday + bank holidays, Private Healthcare, Discounted Gym Membership (Nuffield + Hussle), Life Insurance, Income Protection, Employee Assistance Program, Pension Scheme 3% employee contribution on qualifying earnings, rising 1% per year of service to max 10%.

Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme

Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies. You will receive an individual training budget and/or conference allowance

Team: Career Development, Impact, Innovation. A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression. Experiment and bring forward ideas, create impactful and meaningful work in a creative & collaborative environment - even just for fun!

Office: A modern, collaborative, working space set in the innovation hub of Canary Wharf with panoramic views of London. Plus regular social events & team off-sites.

 

Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at join@datatonic.com if you need assistance or accommodation due to disability.

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