On behalf of our client, we are seeking a passionate Data Engineer (with GCP & BigQuery experience) to drive a high-stakes cloud transformation within their "Corporate Stock Valuation" agile team.

Por favor, lea detenidamente la información de esta oferta de empleo para entender exactamente qué se espera de los posibles candidatos.
The core mission of this position is to lead the modernization of their financial data infrastructure, migrating mission-critical processes from legacy systems (Teradata) to Google Cloud (BigQuery). Because the data involved represents 30% of the client's total balance sheet, this role is highly impactful: your solutions will directly guarantee the accuracy, speed, and reliability of their global financial reporting and decision-making.
Our client is looking for a proactive, team-oriented tech professional—fluent in both English and German—who brings a strong agile and DevOps mindset. The idóneo candidate has a deep understanding of cloud architecture, data integration, and automation, and thrives on solving complex challenges. More than just a developer,



the client needs a strategic partner who can collaborate seamlessly with financial stakeholders, bridging the gap between business needs and resilient, scalable technical solutions.
Key languages:
- Full Professional Level of English
- Full Professional Level of German

Main responsibilities:
- Modernize Core Architectures: Architect and optimize the transition of our financial engine from legacy Teradata to GCP (BigQuery), leveraging modern cloud capabilities.
- Develop Critical Business Simulations: Design and execute complex financial simulations that empower business leadership during key operational events.
- Drive Continuous Enhancement: Iterate on existing data pipelines and solutions to ensure long-term stability and performance.
- Empower Your Peers: Elevate team capabilities through peer code reviews, technical guidance, and knowledge sharing.
- Translate Finance into Code: Col

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