Data Engineer, Allianz

Allianz

Location:

Spain, Barcelona

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

At Allianz Technology, we power the digital transformation of the Allianz Group. Our mission is to lead, optimize, and innovate IT solutions across the globe. We are committed to delivering state-of-the-art applications and services to the Allianz Group, helping drive the future of finance. Within the TCA department, a dedicated team manages the IT application landscape for PIMCO Prime Real Estate. As part of a global IT transformation, we are working to harmonize and consolidate the application landscape, ensuring efficiency and scalability.

Job Responsibility:

Design and implement scalable ETL pipelines using DBT and Azure Data Factory (ADF) to process and transform data
integrate DBT with ADF runtime environments and leverage APIs for seamless execution
write high-quality, well-documented Python code for data transformation, extraction, and automation processes
utilize Visual Studio Code for efficient development and manage project versioning with GitHub
collaborate closely with the team to design and maintain SQL-based data models and data warehouse solutions
collaborate with cross-functional teams to understand data requirements and ensure data accessibility and usability
implement Jenkins for continuous integration and delivery (CI/CD) to automate data pipeline workflows
create and maintain automated workflows to enhance business intelligence, reporting, and data insights
troubleshoot, resolve, and optimize data pipeline issues to support large-scale data processing and ensure consistent data quality
proactively monitor data pipelines, ensuring data accuracy, consistency, and reliability

Requirements:

Proficient in Python for development, automation, and data processing
strong experience using DBT for data transformation and management in cloud environments
solid experience with Azure Data Factory (ADF) for orchestrating ETL workflows
familiarity with Jenkins for CI/CD workflows
expertise in SQL for querying databases and building data models
ability to design and implement effective data models, create databases, and optimize performance
knowledge of Agile Methodology and familiarity with data governance and security best practices with strong problem-solving, troubleshooting and collaboration skills, as well as the ability to thrive in a dynamic environment
experience with data warehousing and cloud-based platforms (Azure)
familiarity with APIs for integrating third-party systems into data workflows
experience in data modeling and data analytics platforms
knowledge of data governance, security, best practices are all preferred qualifications
3-5 years of experience as a Data Engineer or in similar roles, with a focus on cloud-based environments
knowledge of cloud-based database management, preferably Azure
Bachelor’s degree in Computer Science, Information Technology, or related field

Nice to have:

Experience with data warehousing and cloud-based platforms (Azure)
familiarity with APIs for integrating third-party systems into data workflows
experience in data modeling and data analytics platforms
knowledge of data governance, security, best practices

What we offer:

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location)
career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered
flexible working, health and wellbeing offers (including healthcare and parental leave benefits) support to balance family and career and help our people return from career breaks with experience that nothing else can teach

Additional Information:

Job Posted:

March 24, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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