Job Overview

We are looking for a Data & AI engineer to develop and maintain sophisticated data pipelines and infrastructure. The role involves architecting advanced data pipelines to aggregate and transform financial data from multiple Allianz business systems for SAP integration, using Microsoft Azure and Databricks platforms. This modernization effort will replace legacy infrastructure built on SAS, Linux, and Oracle technologies.

Responsibilities

Collaborate with team members and lead smaller project components, providing technical guidance to clients and team on potential programming solutions.

Program end-to-end ETL (Extract, Transform, Load) processes in accordance with the architectural framework and procedural specifications.

Design and deploy requisite landing zones and data repositories to facilitate ingestion of raw data assets.

Develop comprehensive data models for all designated modeling components, including tables, data marts, and associated structures.

Program and orchestrate staging operations leveraging Databricks architecture, incorporating robust pipelining mechanisms and systematic processes.

Establish and configure the raw data vault as well as the business data vault.

Refactor or incorporate pipelining artifacts into a library concept.

Set up client-specific data warehouses and data marts within the consumption layer framework (Databricks based).

Integrate data from external DBMS sources (e.g., OCI Oracle, Snowflake), implementing and deploying complex migration scenarios, using AI-powered tools when appropriate.

Qualifications

Bachelor’s or Master’s degree in Mathematics, Computer Science, Business, or a comparable qualification.

Extensive proficiency in agile methodologies, techniques, and frameworks, combined with strategic thinking to enable targeted, outcome-focused delivery.





Strong expertise and hands-on experience with enterprise-grade technologies, including Databricks, Python, PySpark, interactive computational notebooks, GitHub, Azure Functions, and workflow orchestration and automation tools.

Good knowledge of cloud-native technologies and enterprise applications within the Microsoft Azure ecosystem, with demonstrated ability to implement scalable cloud-based solutions and cloud-to-cloud interconnectivity architectures.

Systematic, analytical approach to problem-solving with the ability to articulate and present complex technical concepts clearly through written documentation, visual formats, and oral communication.

Advanced English language proficiency (Common European Framework Level B or equivalent) and an established track record of successful contributions to multi-year cloud projects.

Confident, assertive professional demeanor with superior communication skills, a collaborative mindset, and exceptional service orientation toward stakeholders and clients.

We welcome candidates with an interest in machine learning.

Benefits

We offer a hybrid work model with up to 25 days per year working from abroad.

Compensation and benefits include a company bonus scheme, pension, employee shares program, multiple employee discounts, versátil working and wellbeing offers such as healthcare and parental leave benefits. We also provide career development and digital learning programs, international mobility opportunities, and lifelong learning support.

Equal Opportunity

Allianz believes in an inclusive culture that encourages people to speak their minds, get involved, and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, regardless of race, ethnicity, cultural background, age, gender, nationality, religion, disability, sexual orientation, or other characteristics protected under applicable laws.

Location

Barcelona, Kingdom Of Spain, ES

📌 Ai & Data Engineering (Madrid)
🏢 Accenture
📍 Madrid