Data Engineer

Greenhouse Software, Inc.; Greater London; Remote; GBP 65,000 - 95,000; Full time

Job summary

Dot Collective is a forward-thinking data consultancy in the UK and EU, empowering teams to deliver impactful data solutions. We build cloud-native platforms and scalable pipelines across modern tech stacks, with a strong emphasis on Agile practices and rapid delivery.

Join a team that values human-centric working patterns, flexible remote options, and real ownership of projects. You will design, deploy, and operate data platforms, optimize performance, and collaborate across disciplines to help

Qualifications

• Proven experience building cloud-native data platforms and data pipelines.
• Strong knowledge of Spark and distributed computing.
• Experience with cloud architecture and deploying resources.
• Proficient in Python and SQL.
• Agile working experience in fast-paced projects.
• Familiarity with infrastructure as code (Terraform or CloudFormation).

Responsibilities

• Implement cloud-native data platforms and scalable pipelines.
• Architect, design, deploy and operate data platforms in cloud environments.
• Collaborate in Agile teams to deliver high-impact data solutions.
• Monitor and optimize performance of cloud-based applications.
• Drive automation and orchestration of cloud resources.

Skills

Cloud-native data platforms

Data pipelines engineering

Spark distributed computing

Cloud architecture principles

Designing cloud resources

Python

SQL

Agile methodologies

Cloud automation

Monitoring

Tools

Terraform

CloudFormation

MLflow

Azure ML

SageMaker

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. 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.