Devops Engineer

Allianz Group
Barcelona, Spain
12 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
German

Tech stack

Adaptable Database Systems Adobe InDesign Customer Data Management Data Architecture Information Engineering Extract Transform Load (ETL) Data Transformation Data Warehousing Database Queries DevOps Machine Learning Cloud Services
+6 more
Data Processing Snowflake Database Performance Information Technology Data Analytics Data Pipelines

Job description

Experteer OverviewSiga leyendo para comprender completamente lo que este trabajo requiere en cuanto a habilidades y experiencia.Si su perfil encaja, presente su candidatura.In this role you design and optimize data pipelines and models to enable insight-driven decisions for Allianz’s customer data platform.You’ll work with cross-functional teams to prepare and migrate data assets to modern platforms like dbt and Snowflake, shaping the foundation for analytics and personalized customer interactions.You will improve data quality, performance, and documentation while staying current with analytics technologies.This position offers impact through scalable data products that support a customer-centric strategy.Compensaciones / Beneficios* Design, build and optimize data pipelines and models for insights and decision-making* Operate and maintain data marts; prepare Oracle systems for migration to dbt and Snowflake* Design, develop, and maintain scalable data models and pipelines using dbt and Snowflake* Collaborate with data analysts and stakeholders to translate requirements into robust solutions* Implement data transformation processes to ensure quality and reliability* Optimize database performance and query execution for efficient data handling* Contribute to ongoing data architecture and infrastructure improvements* Develop documentation and provide training on data product functionalities and best practices* Stay current with industry trends in data engineering and analyticsResponsabilidades* Degree in Computer Science, Data Engineering, or a related field, or a comparable qualification through professional experience* Proven experience in design, development and operation of complex data warehouse environments with cross-functional data* Strong SQL skills and experience with data transformation and ETL; experience with dbt and Snowflake, including building/optimizing models and pipelines* Familiarity xqbhyrx with cloud data platforms and ecosystem tools* Strong teamwork and communication skills; goal-oriented, independent, quality-focused, customer-oriented* Experience in agile environments and commitment to continuous development* English communication; basic German a plus* Passion for data-driven solutions that enhance customer experiences and drive growth* Machine learning knowledge is a strong advantageRequisitos principales* hybrid work model* bonus scheme* pension* employee shares program* learning u** development* health and wellbeing benefits

Requirements

  • Degree in Computer Science, Data Engineering, or a related field, or a comparable qualification through professional experience
  • Proven experience in design, development and operation of complex data warehouse environments with cross-functional data
  • Strong SQL skills and experience with data transformation and ETL; experience with dbt and Snowflake, including building/optimizing models and pipelines
  • Familiarity xqbhyrx with cloud data platforms and ecosystem tools
  • Strong teamwork and communication skills; goal-oriented, independent, quality-focused, customer-oriented
  • Experience in agile environments and commitment to continuous development
  • English communication; basic German a plus
  • Passion for data-driven solutions that enhance customer experiences and drive growth
  • Machine learning knowledge is a strong advantage

Benefits & conditions

  • hybrid work model
  • bonus scheme
  • pension
  • employee shares program
  • learning u** development
  • health and wellbeing benefits

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Apply on www.buscojobs.com.es
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff ¡ World Congress 2024

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Career evolution in data engineering and AI platforms

Maria Apazoglou ¡ Coffee With Developers

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Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum ¡ World Congress 2026 Europe

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:32 min

Shifting to a DevOps career from non-technical backgrounds

Megha Kadur ¡ LIVE

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Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 ¡ World Congress 2025

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