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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI-First Data Engineer - **Company:** Smartcat - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Software as a Service, Code Review, Customer Data Management, Information Engineering, Data Governance, Data Warehousing, Software Debugging, First Data, Graph Database, Meta-Data Management, SQL Databases, Data Streaming, Systems Integration, Usage Analysis, Data Layers, Event Driven Architecture, Data Analytics, Operational Systems, Data Management, Data Pipelines, Databricks - **Published:** July 17, 2026 - **Apply:** https://es.indeed.com/viewjob?jk=bf454c79c7e314f4 ## About the Role * 6+ years of experience in Data Engineering, Analytics Engineering, or a related field * Proven track record designing and operating modern cloud data platforms * Experience in high-growth SaaS environments * Experience working with both technical and business stakeholders * Demonstrated ability to lead complex projects from design through delivery Technical Expertise Strong hands-on experience with: * Databricks * dbt * Airflow * Python for data engineering * SQL and data modeling * Data warehousing architectures * Data quality frameworks * Data governance practices * Data orchestration and integration Experience with: * Streaming architectures and event-driven systems * Business intelligence platforms * Product analytics platforms * CRM and customer data platforms AI-First Mindset (Required) You should be able to demonstrate: * AI-powered development workflows * Automation of repetitive engineering tasks * Use of AI for debugging, testing, architecture exploration, and documentation * Experience integrating AI into data or analytics workflows * Curiosity about agentic systems and the future of AI-enabled data platforms * Evidence of measurable productivity gains through AI adoption Candidates may also have: * Experience building AI-native data products * Experience with semantic layers, RAG systems, vector databases, or knowledge graphs * Experience enabling AI agents to consume operational business data ## Description * Lead the transition from batch-oriented pipelines to near real-time and streaming data systems * Improve reliability, observability, governance, and performance across the data stack * Establish engineering standards and best practices for data development, * Enable semantic layers, metadata management, and knowledge structures that make data more accessible and actionable * Create foundations for agent-driven reporting, forecasting, and business intelligence * Help transform business metrics from static dashboards into living operational systems, * Use AI to accelerate development, testing, documentation, monitoring, and operational workflows * Design systems that allow AI agents to query, understand, and act on business data safely * Evaluate emerging AI technologies and identify opportunities to increase productivity across the data organization * Help establish Smartcat as an AI-native data organization, leveraging AI to increase productivity and talent density across the company. Improve Business Intelligence & Data Accessibility * Make analytics simpler and more accessible for non-technical stakeholders * Improve usability and adoption of BI tools such as Omni and future AI-powered analytics experiences * Enable self-service analytics without sacrificing governance or data quality * Reduce time-to-insight across Product, Revenue, Marketing, Customer Success, and Finance teams Lead Through Technical Excellence * Raise the engineering bar through mentorship, code reviews, architecture leadership, and knowledge sharing * Influence technical direction across Data Engineering and Analytics Engineering * Partner with stakeholders to align platform investments with business priorities ## Related Videos - [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) - [How to Destroy a Monolith?](https://www.wearedevelopers.com/videos/1407-how-to-destroy-a-monolith) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Offline first & automatic data synchronisations for your web and mobile applications](https://www.wearedevelopers.com/videos/554-offline-first-automatic-data-synchronisations-for-your-web-and-mobile-applications) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)