Python Developer

Zurich Insurance

. Design, build and deploy Python-based data products, services and applications .

Posted 9/29/2026full-timeBratislava • SlovakiaMid-LevelSenior💰 €2,930 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing Python-based data products and services, with a strong focus on building ETL pipelines and optimizing data models. Proficient in implementing software engineering best practices and collaborating with cross-functional teams to deliver high-quality data solutions.

Highest-signal resume keywords

Python DevelopmentDatabricks ETL PipelinesSQL ProficiencyRESTful API DesignApache Spark Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonETL/ELT PipelinesSQLApache SparkDelta LakeDatabricksPandasNumPyGeospatial LibrariesCI/CD

Soft Skills

Problem-SolvingOwnership MindsetTechnical JudgementCommunication

Tools & Technologies

Azure StorageAzure FunctionsAzure API ManagementDatabricks WorkflowsMLflow

Industry Keywords

Catastrophe ModellingExposure ManagementInsuranceFinancial Services

Tech Stack

Tools & technologies

ApacheAzureETLNumpyPandasPythonSparkSQL

About the role

Key responsibilities & impact

Design, build and deploy Python-based data products, services and applications
Develop robust ETL pipelines in Databricks for risk, exposure and modelling data
Translate complex business rules and calculation logic into clear, maintainable and tested code
Build APIs and integration services for real-time, near-real-time and batch data use cases
Design and optimise data models, Delta tables and Lakehouse workflows
Improve pipeline and service performance, scalability, reliability and cost efficiency
Implement data validation, monitoring, logging, alerting and automated testing
Troubleshoot complex data and production issues, identify root causes and deliver sustainable fixes
Apply software engineering practices, including Git, CI/CD, code reviews and technical documentation
Work closely with data engineers, architects, technology teams and business stakeholders
Share knowledge and build reusable components to reduce dependencies on key individuals

Requirements

What you’ll need

Strong professional experience developing production-grade Python solutions
Strong hands-on experience with Databricks
Experience building ETL/ELT pipelines, data applications or data products
Strong SQL skills and experience working with structured data
Experience with Apache Spark, Delta Lake and Lakehouse architecture
Ability to independently analyse complex or unclear requirements and shape practical solutions
Strong understanding of software development best practices, including Git, CI/CD, automated testing and DevOps
Experience improving performance, reliability and maintainability of data solutions
Strong problem-solving skills, an ownership mindset and sound technical judgement
Excellent written and spoken English
Experience designing and building RESTful APIs
Experience with Pandas, NumPy and geospatial libraries such as GeoPandas, Shapely or H3
Experience with Azure services, including Azure Storage, Azure Functions and Azure API Management
Knowledge of Databricks Workflows, MLflow, Model Serving or Feature Serving
Familiarity with data-quality frameworks, observability and production support
Experience in catastrophe modelling, exposure management, insurance or financial services

Benefits

Comp & perks

Personal days off
Concentrated work week
Additional vacation
Home office
Extra days off at occasion of childbirth
Sabbatical leave
Workcation
Life insurance from Zurich Austria
Compensation for salary loss during sick leave
3rd pension pillar contribution
Risk Life Insurance
Meal contribution on top of the legally required minimum
Years of service bonus
Wedding bonus
Baby bonus
Electronic cafeteria
Maternity leave benefits
Massages in the office
Professional Certifications
Online Education Portals
Extensive Onboarding program
Strengths based culture (GALLUP)