ROLE

Associate Data Engineer

Join people who are bright, curious and strive to make a meaningful impact

At Datasparq, we put our people first. After all, it's our people that make our business special.

Want to hear what it's like to work at Datasparq? Check out our Glassdoor reviews by clicking on the link below.

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About the Role

New associates at Datasparq can expect to be engaged in interesting and challenging projects from the outset, being coached and mentored by our team of experienced Data, Software and AI Engineers. Typically, an engineering associate will be involved with more than one of the following technical challenges within their first year:

  • Provisioning cloud infrastructure via IaC (infrastructure as code) and CICD techniques, providing a stable base for data engineering & science software to execute
  • Developing data transformations + logical rulesets on a variety of data types and sizes - utilising a mixture of techniques e.g. MPP (massive parallel processing), SQL, Python and more
  • Moving data analysis and science from prototypes to valuable and stable operational business processes, via a mixture of best practise techniques (serverless, container based, etc)
  • Creating a range of interfaces for data processes, including: APIs, integration with third party products, user interfaces (typically web) and more
  • Assist in maintaining and improving our current data services we provide to our customers (both data platform and AI solutions)
  • Development of simple web apps including user interfaces with React JS

Separate to delivery work, you will be able to develop your skill set in your desired areas with individual and collaborative learning available and the opportunity to contribute to our pre-product phase. Here you can help shape and define the data processes and products we build for our customers, ensuring that our projects and services have the best possible chance of success.

Responsibilities

Required Skills

  • Experience in using code (such as Python) to perform analysis, automation, or data transformation
  • Desire to learn new data development practises utilising Datasparq toolset (e.g. Python, Git, Docker, Terraform, cloud infrastructure providers and more)
  • Able to self-manage and complete tasks given appropriate guidance and direction
  • Collaborates with clients on delivery, and is comfortable presenting to clients
  • Willing to move between projects and learn new topics quickly and effectively
  • Effectively communicates their technical/process ideas at a project team or company level (e.g. at chats, seminars)
  • Aims to develop fluency in tools or techniques within engineering and will demonstrate strength in severalappropriate techniques, technologies or approaches
  • Enthusiastic about continued development of technical skills using the latest cloud technology - achieving & maintaining relevant certifications
  • Experience in Cloud computing (GCP, Azure, AWS)
  • Experience in CICD Tools and best practices with Git

Desirable Skills

About Datasparq

Datasparq is a specialist AI & data firm that designs, builds and runs high-impact AI & data solutions. We build bespoke AI and data science tools—and turn them into robust, reliable services for our clients.

We are a highly dedicated team of experienced data scientists, engineers, product designers and visualisation professionals who between us solve impactful problems for a diverse range of companies from international airlines to multinational pharmaceutical companies to luxury global hotel brands. 

We start with research and iterate—using lean startup principles—to quickly uncover impactful solutions to high-value challenges. Our product team ensure that we build the right solution in the right way. Our data science team ensure that the AI and data science solutions we build are best-in-class. And, our engineering team ensure that solutions are robust and ready to be deployed in the real world. When it comes to operationalising solutions, we run data science products in the cloud as services for our clients or deploy to their infrastructure as needed.

We don’t just build ML models—we take our science from the broad spectrum of mathematics, statistics, operations research and computer science. We work with academic partners and Centres for Doctoral Training (CDTs) across the UK to ensure that what we do is founded on high-quality, up-to-date science.

As a company, we don’t just value diversity - we place it at the heart of what we do. We need diverse thinking from diverse people to help us create solutions quickly that are effective and respect the audience for the tool.

Things you might like to see

Perks

Datasparq employees get these perks as standard.

AXA healthcare

The option to join our company healthcare plan

Monthly socials

Varied, lively socials every last Thursday of the month

Learning culture

Weekly (at least!) data science & engineering seminars

Flexible working

Work from our London office or at home

Ethics reviews

Regular ethics reviews to make sure our work is meaningful

D&I commitment

We have diversity, inclusion & wellbeing goals in our KPIs

25 days holiday

...with the option to buy 5 extra days

Dragon's Den

Vibrant startup culture; annual entrepreneurship competition

Labs

Developing our own tools like Houston and Xu

contact

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