Role overview

Qualifications

Implementing cloud-native data platforms
Engineering scalable and reliable pipelines
Good knowledge of distributed computing with Spark
Excellent python and SQL skills

Responsibilities

Designing, deploying, and managing cloud resources
Understanding of cloud architecture principles and best practices
Monitoring and performance tuning of cloud-based applications and services
Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform

Key facts

Remote from: United Kingdom
Full time
Data Engineer
English

Hard skills

Python (Programming Language) SQL (Programming Language) Distributed Computing Cloud Automation MLflow Azure Machine Learning AWS SageMaker Performance Analytics

About the company

The Dot Collective

We are a new generation consultancy founded on the premises of the engineering excellence and empowering people to make an impact. The Dot Collective was created because its founders thought that there must be a better way to run a modern engineering consultancy. We wanted to create a space where people’s backgrounds and stories are celebrated, talent is rewarded and access to opportunities is equitable.

Company details

Company typeStartup

Company size11 - 50

Links

Website LinkedIn See all jobs

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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.

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.

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 – well-designed co-working 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 well-performing teams. Whilst continuity across every project is not always possible, we thoughtfully assemble high-performing, blended teams with the appropriate levels of experience and expertise to deliver the best outcomes for our clients — and teams you’ll enjoy working with.

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 burn-out. 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.

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