Data Engineer

The Dot Collective; City Of London; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A UK-based consultancy is seeking a passionate Data Engineer who can implement cloud-native data platforms and engineer scalable pipelines. Your role involves applying your skills in Python, SQL, and distributed computing to enhance data delivery. The company values team stability and employee wellbeing, offering flexible working patterns and personal project opportunities.

Benefits

Flexible working arrangements

Employee wellbeing programs

Parental leave policies

Opportunities for personal projects

Qualifications

• Experience deploying and managing ML models is a plus.
• Knowledge in model drift detection and automated retraining proposed.
• Familiarity with ML workflows via CI/CD automation is beneficial.

Responsibilities

• Architect, design, and operate a data platform.
• Ensure projects are run smoothly with team stability.
• Support employee wellbeing through flexible working.

Skills

Implementing cloud-native data platforms

Engineering scalable and reliable pipelines

Good knowledge of distributed computing with Spark

Understanding of cloud architecture principles

Hands-on experience in managing cloud resources

Excellent Python skills

Excellent SQL skills

Agile ways of working

Experience in cloud automation with CloudFormation or Terraform

Monitoring and performance tuning

Job description

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 youlike 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 – 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 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.