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Azure Data Engineer

Zurich · Bratislava, SK · Slovakia

Azure Data Engineer in Bratislava – Transform data science prototypes into production pipelines. Collaborate with data scientists, apply MLOps, and drive scalable, secure solutions on Azure and Databricks.

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Azure Data Engineer in Bratislava – Transform data science prototypes into production pipelines.

Collaborate with data scientists, apply MLOps, and drive scalable, secure solutions on Azure and Databricks.

Our opportunity

Azure Data Engineer

We are strengthening our capability to bring data science solutions into production faster and with higher quality. This role bridges the gap between data science and data/platform engineering by taking prototypes and turning them into scalable, governed solutions.

This is not a pure data engineering role — your focus is bringing machine learning solutions into production.

Your role

As an Azure  Data Engineer , your main responsibilities will involve: 

Take data science prototypes (Python / notebooks) and productionise them on Databricks

Design and implement robust data and ML pipelines

Package and deploy models into production-grade workflows

Apply MLOps practices (versioning, monitoring, deployment)

Ensure solutions are scalable, reliable, and maintainable

Co-manage Databricks environments, jobs, and workflows

Apply data governance, security, and access controls aligned with standards

Collaborate closely with data scientists to prepare models for production use

Reduce dependency on heavy handovers by owning implementation within the team

More info about the role:

You will be embedded in a data science team

Typical setup of 2–3 Data Scientists + 1 Production Engineer

Focus on production models and ensuring they run reliably

Your Skills and Experience

As an Azure Data Engineer, your skills and experience will ideally include:

4-5 year experience in data engineering or backend engineering roles

Strong hands‑on skills in Python and SQL

Experience with Databricks, Spark, and Delta Lake

Exposure to machine learning workflows and concepts

Experience deploying solutions into production environments

Understanding of data modelling, performance optimisation, and data quality

Nice to have

Experience with Azure ecosystem (ADF, Storage, etc.)

Familiarity with MLOps practices or tools

Experience with APIs or real‑time data solutions

Background in insurance or regulated environments

We offer

Compensation for roles at Zurich depends on a wide array of factors including but not limited to the specific role, skill set, level of experience, and subject to applicable law. Zurich thus provides a range of compensation aligned to internal job architecture and market benchmarks to ensure fair and consistent pay for comparable roles. The starting base salary range for this position is 2930 EUR.

Working time benefits

Personal days off, Concentrated work week, Additional vacation, Home office, Extra days off at occasion of childbirth, Sabbatical leave, Workation

Monetary benefits

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

Other benefits

Electronic cafeteria, Maternity leave benefits, Massages in the office

Learning/Development

Professional Certifications, Online Education Portals, Extensive Onboarding program, Strengths based culture (GALLUP)

Location:

Bratislava

Schedule:

full-time

Form:

hybrid - occasional home office possible

About us

At our company, we recognize the importance of fostering an open‑minded, safe and inclusive environment for everyone. We stand with diversity and respect different backgrounds and lifestyles. That's why we've implemented numerous initiatives to ensure our employees feel comfortable, accepted, and respected at all times.

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