Data Engineer Ms Azure

Allianz Group
Barcelona, Spain
3 days ago

Role details

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

Job location

Barcelona, Spain

Tech stack

Agile Methodologies
Artificial Intelligence
Azure
Business Systems
Databases
ETL
Data Mart
Data Stores
Data Systems
Data Warehousing
Github
Python
Oracle Applications
Cloud Services
SAP Applications
SAS (Software)
Workflow Management Systems
Cloud Platform System
Snowflake
Containerization
Data Lake
PySpark
Information Technology
Oracle Cloud Infrastructure
Data Pipelines
Serverless Computing
Databricks

Requirements

Experteer Overview In this role you will architect and operate advanced data pipelines and cloud-based infrastructure to integrate financial data across Allianz business systems for SAP. You will collaborate with cross-functional teams, sometimes leading project components, and apply modern data lake and data warehouse practices on Databricks and Azure. The role supports modernization of legacy SAS/Oracle stacks and focuses on scalable, end-to-end ETL and data modeling. You will help deliver impactful data solutions that enable better business decisions and SAP integration.Compensaciones / Beneficios - Collaborate with teammates and guide smaller project components and technical options for clients and team - Develop end-to-end ETL processes per project architecture and specifications - Design landing zones, data repositories, and comprehensive data models (tables, data marts) - Program and orchestrate staging operations using Databricks, with robust pipelines - Establish raw and business data vaults, refactor pipelines into a library concept - Set up client-specific data warehouses and data marts within the Databricks-based consumption layer - Integrate data from external DBMS (OCI Oracle, AES Snowflake) and implement complex migration scenarios, leveraging AI tools where appropriateResponsabilidades - Bachelor's or Master's degree in Mathematics, (Business) Computer Science, or comparable qualification - Strong experience with agile methodologies and outcome-focused delivery - Excellent communication and stakeholder-management skills - Hands-on expertise with Databricks, Python, PySpark, notebooks, GitHub, Azure Functions, and workflow orchestration/automation tools - Solid knowledge of cloud-native technologies in Microsoft Azure and scalable cloud solutions - Analytical problem-solving and ability to present complex concepts clearly in written, visual, and oral formats - Advanced English (CEFR B or equivalent) and track record on multi-year cloud projects - Interest in machine learningRequisitos principales - hybrid work model - up to 25 days abroad - bonus scheme - pension - employee shares program - employee discounts

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