Data Engineer - Azure
The Dot Collective
| Company | The Dot Collective |
| Category | Engineering |
| Location | Warsaw |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 21 Aug 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
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:
Strong SQL and Python skills
Data modelling experience (dimensional, relational, or similar)
Experience building and maintaining backend systems
Familiarity with Microsoft Azure
Understanding of APIs, containers, and backend development best practices
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
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:
Experience with Snowflake, dbt, CubeJS
Experience with Databricks, PySpark, ML workflows
Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps).
Frontend development experience (React, Next.js, TypeScript)
Infrastructure-as-code (Terraform, CloudFormation)
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
Key tasks:
Develop, maintain, and optimise backend services for our SaaS platform
Work with SQL and Python daily to build robust data pipelines and transformations
Model, structure, and query data to support product features and reporting
Integrate and maintain data ingestion flows (e.g., Fivetran, custom connectors)
Implement backend APIs (FastAPI) to power our web application
Work with our cloud environment (Azure - experience with AWS or GCP also valuable)
Collaborate with teammates to plan, build, and deploy features in an Agile way
Contribute to CI/CD workflows, monitoring, and infrastructure-as-code
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. T
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