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Allianz Insurance

Data Platform Devops Engineer_2379

Allianz Insurance Budapest, Central Hungary, Hungary

Financial Services · 5,001-10,000 employees

Jul 21
devops Mid (2-5 yrs) Full-time Hungary
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About the role

You will design and operate robust ELT pipelines and data models while automating deployments using DevOps practices. The role involves collaborating with cross-functional teams to deliver integrated data solutions and ensuring system reliability through proactive monitoring.

What they look for

AWS Snowflake PySpark Python dbt Terraform GitHub Actions CI/CD IaC Data Modeling ETL ELT CloudWatch Dynatrace Agile Data Engineering

Requirements

Candidates must have hands-on experience with Snowflake, AWS services, and PySpark, along with proficiency in data DevOps practices like CI/CD and IaC. Strong problem-solving skills and a quality-oriented mindset are essential for maintaining code integrity and supporting platform migration.

Full description

About the Job:

Join our data engineering and DevOps team to build, run, and continually improve modern data products on a cloud-first stack. You will collaborate in an agile, cross-functional environment to design and operate robust ELT pipelines and data models that power analytics and insights. In this role, you’ll combine hands-on development with DevOps practices—automating deployments, monitoring reliability, and ensuring quality—while supporting our migration and modernization initiatives on AWS and Snowflake. 

 

What You Do: 

  • Collaborate with analysts and engineers in agile, cross-functional teams to deliver integrated data solutions.
  • Build and operate data pipelines with AWS (S3, Glue, Lambda, Step Functions, CloudWatch), Snowflake, PySpark/Python, and dbt.
  • Design and implement ELT pipelines, database structures, and data models aligned to business needs.
  • Ensure reliability and performance via proactive monitoring, logging, and troubleshooting (CloudWatch, Dynatrace).
  • Handle incident/problem management, root-cause analysis, and stakeholder communication.
  • Execute releases and automate deployments using CI/CD and IaC (GitHub Actions, Terraform); follow DevOps best practices (GitHub, code reviews).
  • Perform testing and quality checks to maintain code quality and data integrity.
  • Drive continuous improvement and support adoption of new tools and technologies during platform migration. 

 

What You Bring: 

  • Hands-on experience with Snowflake; AWS services (Glue, Lambda, S3, CloudWatch); and PySpark/Apache Spark.
  • Proven track record designing and operating ELT/ETL pipelines, database design, and data modeling; familiarity with dbt or willingness to learn it.
  • Data DevOps practices: GitHub-based version control and code reviews; CI/CD for data pipelines (e.g., GitHub Actions); IaC with Terraform; monitoring/logging (Dynatrace/CloudWatch).
  • Strong problem-solving and communication skills; collaborative and able to work independently; service- and process-oriented.
  • Quality mindset with clean, maintainable code; organized, analytical, detail-oriented, disciplined.
  • Fluent in English; German proficiency and experience in agile (Scrum) and/or insurance environments are a plus.
  • Basic knowledge of AI technologies, principles, and their practical use.

97038 | IT & Tech Engineering | Professional | Non-Executive | Allianz Technology | Full-Time | Permanent

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