Backend Developer Python Databricks

Lingaro REMOTE WARSAW 2026-08-14

What we are looking for?

  • Strong commercial experience in Python backend development at a senior level.
  • Mandatory: hands-on experience developing software across distributed services in Microsoft Azure.
  • Mandatory: practical experience with Azure Databricks, including Unity Catalog and serverless capabilities on Azure.
  • Mandatory: strong knowledge of Microsoft Azure cloud solutions and services.
  • Proven experience with backend frameworks such as FastAPI and/or Django.
  • Experience designing and building RESTful APIs and microservices.
  • Solid understanding of CI/CD pipelines, automated testing, and deployment workflows.
  • Practical experience working with Docker in production environments.
  • Practical experience with SQLAlchemy, including ORM, database sessions, queries, and data modeling.
  • Experience with Celery for asynchronous processing, background jobs, and scheduled tasks.

Additional Expected Skills

  • Strong knowledge of relational databases, preferably Oracle, or very good knowledge of other relational databases.
  • Strong knowledge of Microsoft Azure cloud services and architecture.
  • Hands-on experience with Azure Databricks, Unity Catalog, and serverless computing on Azure.
  • Experience with cloud architecture patterns, scalability, and performance optimization.
  • Familiarity with testing practices, including unit, integration, and end-to-end testing.
  • Version control proficiency with Git and experience with collaborative development workflows.
  • Understanding of security best practices in cloud and backend environments.
  • Ability to work in Agile/Scrum teams and communicate effectively in English.
  • Kubernetes experience is a plus.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
  • Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office.
  • Workation. Enjoy working from inspiring locations in line with our workation policy.
  • Great Place to Work® certified employer.
  • Flexibility regarding working hours and your preferred form of contract.
  • Comprehensive online onboarding program with a “Buddy” from day 1.
  • Cooperation with top-tier engineers and experts.
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.
,[Design, develop, and maintain backend services using Python., Build and optimize RESTful APIs and microservices., Develop software across distributed services running on Microsoft Azure — Azure experience is a must., Work with Azure Databricks, including Unity Catalog and serverless capabilities on Azure — this is a must-have requirement., Design, deploy, and manage cloud-based solutions in Microsoft Azure., Implement CI/CD pipelines and automated testing workflows., Work with Docker in production environments., Collaborate in an Agile/Scrum team and participate in code reviews, planning, and architecture discussions., Use SQLAlchemy for database access, ORM, and data modeling., Develop and maintain asynchronous and scheduled background tasks using Celery. ] Requirements: Python, Databricks, Azure, SQLAlchemy, Oracle database, Kubernetes