Data Engineer

Work set-up: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Proficiency in Python and SQL programming., Experience with cloud-native data platform implementation., Knowledge of distributed computing, especially Spark., Understanding of cloud architecture and automation tools like Terraform or CloudFormation..

Key responsibilities:

  • Design, deploy, and manage scalable data pipelines.
  • Implement cloud-based data solutions and optimize their performance.
  • Collaborate within agile teams to deliver data projects.
  • Maintain and monitor cloud resources and data platforms.

The Dot Collective logo
The Dot Collective Startup https://thedotcollective.co.uk/
11 - 50 Employees
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Job description

About The Dot Collective

We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. All our consultants have equity in the company, genuinely love what they do and are really good at it.

We work with all modern tech stacks and typically run agile scrum on all our projects.

About you

Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.

Your key skills and capabilities:

· Implementing cloudnative data platforms
· Engineering scalable and reliable pipelines
· Good knowledge of distributed computing with Spark
· Understanding of cloud architecture principles and best practices
· Handson experience in designing, deploying, and managing cloud resources
· Excellent python and SQL skills
· Agile ways of working
· Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform
· Monitoring and performance tuning of cloudbased applications and services

Nice to haves: (MLOps):

  • Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance.
  • Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining
  • ML Pipelines & CICD – Automate endtoend ML workflows
    • We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.

      Our promise to you

      We will always see you as a human being and will do our very best to support your needs and wellbeing – welldesigned coworking and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects.

      We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking wellperforming teams – your team will be stable across different projects and you will work with people you trust and like.

      We are committed to prioritising the wellbeing of our employees. To fulfill this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture.

      We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burnout. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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