> Markdown version of [/jobs/ext/1908647-data-engineer-gcp-bigquery](https://www.wearedevelopers.com/jobs/ext/1908647-data-engineer-gcp-bigquery). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (GCP & BigQuery - **Company:** Babel Profiles - **Location:** Barcelona, Spain - **Salary:** €50,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Data Analysis, Automation of Tests, BigQuery, Cloud Engineering, Cloud Storage, Code Review, Continuous Integration, Information Engineering, Data Integration, Data Migration, DevOps, Perl (Programming Language), Data Flow Control, Python (Programming Language), Scrum Methodology, SQL Databases, Teradata SQL, Google Cloud, Cloud Platform System, Git, Terraform, Software Version Control, Data Pipelines, Legacy Systems - **Published:** August 4, 2026 - **Apply:** https://www.jobleads.com/es/job/eefdc9ea99d87c57490dd15887136adb5 ## About the Role 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. 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 ideal 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, * Engineering Background: A degree in IT, Business Informatics, or equivalent practical experience in software/data engineering roles within agile environments (Scrum/Kanban, DevOps, CI/CD). * GCP & Data Expertise: Deep hands-on experience with Google Cloud Platform, particularly BigQuery SQL, Cloud Storage, Dataflow, and Pub/Sub. * Data Migration Knowledge: Solid track record in data integration and migration projects, specifically transitioning systems from Teradata to BigQuery (or similar legacy-to-cloud environments). * Infrastructure & Testing: Proficiency with Infrastructure-as-Code (Terraform), version control (Git), and automated testing practices. * Languages: Fluency in both English and German is essential for seamless collaboration with our business and engineering teams. Nice-to-Haves: * Working knowledge of Python (highly preferred), Java, Perl, or Dataform. * Strong communicator who thrives in cross-functional environments, bridging technical execution with business needs. Proactive, open-minded, and a collaborative team player. ## Description * 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: Collaborate directly with Product Owners and Finance experts to turn real-world financial logic into seamless, automated solutions. * Evolve Development Practices: Work cross-functionally to solve technical roadblocks and actively improve agile development processes. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Making Data Warehouses fast. 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