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Data Engineer - Azure

The Dot Collective
CompanyThe Dot Collective
CategoryEngineering
LocationWarsaw
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted21 Aug 2025
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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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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