Azure Data Engineer: Build Scalable Cloud Pipelines

Dot Collective; Województwo mazowieckie; Hybride; PLN 180 000 - 280 000; Plein temps

Avantages offerts par ce poste

Remote-friendly

Wellbeing program

Résumé du poste

Dot Collective is seeking a data & backend engineer to design, build, and optimise data pipelines and backend services for a SaaS platform. You will work daily with SQL, Python, and Azure, shaping data models and APIs to support product features and reporting.

You’ll engage in cloud automation, CI/CD, and infrastructure-as-code while collaborating in Agile teams to deliver scalable, reliable data solutions.

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.
• 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.

Responsabilités

• 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.

Connaissances

SQL

Python

Data modelling

Azure

APIs & containers

Cloud-native data plat

ETL pipelines

Spark

CI/CD

Infrastructure as code

Monitoring & tuning

Outils

Snowflake

dbt

Databricks

PySpark

ML workflows

MLflow/Azure ML

Terraform/CloudFormation

Docker/Kubernetes

Description du poste

Dot Collective is seeking a data & backend engineer to design, build, and optimise data pipelines and backend services for a SaaS platform. You will work daily with SQL, Python, and Azure, shaping data models and APIs to support product features and reporting.

You’ll engage in cloud automation, CI/CD, and infrastructure-as-code while collaborating in Agile teams to deliver scalable, reliable data solutions.