Data Engineer

The Dot Collective; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

The Dot Collective is seeking a Data Engineer to join their team in London. As a consultancy committed to engineering excellence, we offer a dynamic work environment with opportunities for personal and professional growth. The ideal candidate will implement cloud-native data platforms and engineer scalable data pipelines, alongside a supportive culture that prioritizes employee wellbeing. This entry-level position requires expertise in Python and SQL, with experience in cloud architecture being a plus.

Benefits

Comprehensive employee wellbeing program

Flexible working arrangements

Co-working and collaboration spaces

Sabbaticals

Parenting leave

Qualifications

• Experience implementing cloud-native data platforms.
• Strong Python and SQL skills.
• Familiarity with distributed computing tools like Spark.

Responsibilities

• Engineering scalable and reliable pipelines.
• Designing, deploying, and managing cloud resources.
• Monitoring and performance tuning of cloud-based applications.

Skills

Cloud-native data platforms

Distributed computing with Spark

Python

SQL

Agile ways of working

Cloud automation and orchestration

Job description

Join to apply for the Data Engineer role at The Dot Collective

Join to apply for the Data Engineer role at The Dot Collective

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.

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 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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