Senior Data Engineer_D-966 at Allianz Global Corporate & Specialty SE

Barcelona, Catalonia, Spain -

Full Time

Start Date

Immediate

Expiry Date

03 Jan, 26

Salary

0.0

Posted On

05 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Services, SQL-Based Data Modeling, ETL Pipelines, Spark, PySpark, Python Development, GitHub Version Control, CI/CD Practices, APIs, MLOps

Industry

Financial Services

Description

About the Job 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 Group Reporting & Analytics department, a dedicated team manages several platforms for financial management reporting. As part of our service expansion, we’re building a data warehousing and business intelligence solution for several Allianz companies. What you do · Design and maintain Azure Synapse Analytics and SQL-based data models and data warehouse solutions. · Build and optimize scalable ETL pipelines using Azure Synapse Analytics, Spark, and Azure Data Lake Storage Gen2. · Develop high-quality Python/PySpark code for data transformation, automation, and integration processes. · Implement CI/CD workflows using Azure Synapse Pipelines and ensure secure data access with Azure Authorizations and Key Vault. · Collaborate with cross-functional teams to gather requirements and ensure data accessibility and usability. · Monitor, troubleshoot, and optimize data pipelines using Azure Log Analytics to maintain data quality and performance. · Manage integration of third-party systems via APIs to enhance data workflows and reporting capabilities What you bring · Strong expertise in Azure data services (Synapse Analytics, Data Lake, Azure Networking) and SQL-based data modeling. · Proven experience in building ETL pipelines and working with Spark and PySpark. · Proficiency in Python development, GitHub version control, and CI/CD practices. · Familiarity with APIs and integration of external systems into data workflows. · Basic knowledge of Machine Learning Operations (MLOps). · 5+ years of experience as a Data Engineer or in similar roles, preferably in Azure environments. · Degree in Computer Science, Information Technology, or a related field What we offer · We offer a 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. · We believe in rewarding performance and our compensation and benefits package includes a company bonus scheme, pension, employee shares program and multiple employee discounts (details vary by location). · From 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.

Responsibilities

Design and maintain Azure Synapse Analytics and SQL-based data models and data warehouse solutions. Build and optimize scalable ETL pipelines using Azure Synapse Analytics, Spark, and Azure Data Lake Storage Gen2.