Data Engineer - Azure

Greenhouse Software, Inc.; Warszawa; Remote; PLN 150,000 - 230,000; Full time

Job summary

The Dot Collective is building a modern data platform and backend services for a SaaS product. You will work with SQL and Python daily to shape pipelines, data models, and APIs powering product features and reporting.

You will collaborate in an Agile team, leverage Azure cloud resources, and contribute to CI/CD and IaC practices to ensure reliable, scalable delivery.

Qualifications

• 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.
• 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.

Responsibilities

• 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.

Skills

SQL

Python

Data modelling

Backend systems

Azure

APIs & containers

Distributed computing

Spark

Cloud architecture

IaC

Agile

CI/CD monitoring

Tools

Snowflake

dbt

CubeJS

Databricks

PySpark

MLflow

Azure ML

SageMaker

Docker

Kubernetes

Azure Container Apps

Terraform

CloudFormation

Fivetran

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:

• 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
• 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).
• 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. To fulfil 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.