Data Engineer
- Level
- Mid
Not stated in the posting: salary, work type, visa.
Open. First seen 3 October 2026.
About the role
About 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.
What this role asks for
Particular to this role
MLOps
Rare in Dot Collective's other 9 open postings.
Standard for data engineering roles
Azure · CI/CD
Common in data engineering postings at any company.
In most of Dot Collective's ads
Agile · Python · SQL
Named in most of its open postings, whatever the role.
Read against Dot Collective's other open postings on this site.
The team: Data Engineering
This role is one of 4 open in Data Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Agile (4 of 4), Azure (3 of 4), CI/CD (3 of 4), CloudFormation (3 of 4), Machine Learning (3 of 4), MLflow (3 of 4), Python (3 of 4)
OTHER ROLES ON THIS TEAM
- Data Engineer - Azure posted Aug 21
- Data Solution Architect posted Oct 10
- Data Engineer posted Jul 13
From the team and dates on Dot Collective's own job board.
Salary context
67 other open postings titled Data Engineer state a salary: median USD 130,000 to USD 180,000 a year.
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