> Markdown version of [/jobs/ext/4677899-data-engineer](https://www.wearedevelopers.com/jobs/ext/4677899-data-engineer). 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 - **Company:** Ebury - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, JIRA, Big Data, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Integration, Data Warehousing, Dimensional Modeling, Github, Python (Programming Language), Software Construction, Google Cloud, Google Data Studio, Technical Debt, Build Server, Looker Analytics, Software Version Control, Docker - **Published:** November 12, 2026 - **Apply:** https://startup.jobs/senior-data-engineer-ebury-10754085 ## About the Role * 3+ years in data engineering, with a track record of building, maintaining, and optimizing pipelines in big data environments. * Strong proficiency in Python and SQL. * Solid understanding of SDLC, testing, documentation (RFCs), and continuous deployment in a data environment. * A strong curiosity to stay up to date with modern data industry standards, technologies, and best practices. * Professional fluency in English., * Hands-on experience with key tools in our stack (dbt, GCP, Airflow, Looker). * Strong grounding in dimensional modeling and data warehousing concepts. ## Description * Build & Orchestrate: Design, deploy, and maintain robust ELT/ETL data pipelines from diverse sources (transactional databases, REST APIs, and file-based endpoints). * Model & Warehouse: Collaborate on scalable data models to supply clean, structured data for BI tools and department-specific decision-making. * Modernize & Optimize: Manage orchestration using Apache Airflow (GCP Cloud Composer) and leverage GCP native services (Cloud Run, GKE, Cloud Functions, Artifact Registry). * Drive Engineering Excellence: Apply software engineering best practices (version control, CI/CD, testing, code reviews) while actively reducing technical debt. * Automate & Empower: Automate end-to-end data workflows to eliminate manual extracts, freeing teams across Ebury to focus on high-value analysis. * Govern & Refine: Help implement data quality standards, access controls, and data governance policies across the platform., Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity. Notice to Recruitment Agencies and Search Firms: Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. AI Transparency Statement: Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.