Data Engineer

About The Dot Collective

We are a new generation data, cloud & AI consultancy based across UK and the EU founded on the premise of engineering excellence and empowering people to make an impact.

Established in 2021, Dot Collective designs, builds & runs AI-enabling, mission-critical data infrastructure for the global modern enterprise.

We are dot-connectors & risk takers, and most importantly, we genuinely love what we do and are rather good at it. We make things happen and try to have fun along the way. We’re growing fast, but our culture remains at the heart of everything we do!

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 cloud-native data platforms
·      Engineering scalable and reliable pipelines
·      Good knowledge of distributed computing with Spark
·      Understanding of cloud architecture principles and best practices
·      Hands-on 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 cloud-based 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 & CI/CD – Automate end-to-end ML workflows

We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform.