What does Nodes & Links do?

We are a team of curious minds on a mission to revolutionise the way in which complex, engineering projects are planned and delivered. We provide users with previously-unattainable insights, at an unprecedented speed and ease, whilst promoting collaboration and information sharing within teams.

TechNation thinks we are one of the best AI start-ups in the UK, Construction Tech Review says we are one of the best start-ups in in the EU/UK and AWS views us as disruptors of the industry. We are part of University of Oxford’s Creative Destruction Lab and Entrepreneur First alumni. We recently won the ‘Risk Innovation’ award from CIR, and have been shortlisted for AI product and innovation awards at CogX and by the British Construction Industry.

This is a great opportunity to join a well-funded and ambitious start up in a dynamic and mission-driven environment, leading the growth from a start-up to a fully-fledged organisation.

What will you do in the role? ‍‍

Design and build complex data pipelines ingesting structured and unstructured data and productionising model data flows in the backend.

  • Collaborate with the AI team to optimise compute performance
  • Analyze and understand the structure of data to be able to develop the right solutions
  • Develop proprietary data cleaning processes
  • Understanding of Data Warehousing and Data Lake principles (including indexing, query graphs, basic administration, relational models, etc)
  • Develop infrastructure connecting all components of our architecture including the data pipeline,internal tools and the customer-facing web application
  • You'll contribute to internal tooling that is critical for us to scale

You’ll be joining a team of creative and intellectually curious engineers. We are eager to learn any technology and skill required to get the job done, and share their knowledge with the rest of the team.

With a strong culture of ownership and responsibility, we believe that our job is not done until the job is done.


We're looking for someone with:

  • Ambition to be a world-leading expert.
  • Appetite and capacity to keep up with emerging technologies.
  • 3+ years experience developing Python in an agile environment
  • Experience building Docker images and running containerised applications
  • You've deployed containerised scripts / applications to the cloud (ECS / Kubernetes)
  • A track record of keeping Data Scientist happy through your Python magic
  • You know why tests are important and you love to write them :)
  • Good knowledge of SQL
  • Be a good communicator - you love to teach people techy stuff!
  • Adaptability and autonomy - weʼre a small startup, things change a lot and fast

We’re also excited if you have:

  • Experience with AWS services (e.g., S3, Lambda, RDS, Fargate, Cognito, Step Functions)
  • Experience with Infrastructure as Code (e.g. AWS CDK, CloudFormation, Terraform, Serverless).
  • Experience with graph databases
  • Experience with data experimentation and charts (Python)
  • Have mentored/supported team members.

What if you’re a partial fit?

We prioritise grit, positivity, and drive for growth, and encourage you to apply even if your experience doesn't exactly match this job description.


Cyprus or Greece or Remote (GMT/CET/EET time zone) #LI-remote

We are

  • Hard working but not workaholic
  • Explorers. Data is our compass and innovation our destination
  • We are independent thinkers. We are not afraid of looking where no one else is
  • Team players. We believe the whole is bigger than the sum of its parts
  • We have strong opinions, weakly held
  • Continuously evolving the way we do things. Even our #donut dates

Nodes & Links is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Short Info

  • Added:24 Days ago
  • Office:Remote
  • Category:Data Engineer
  • Employment Type:Full Time
  • Experience:Mid

Company Info

Nodes & Links