Senior Data Engineer – AI First

🕒 July 15

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Smartcat

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS • Translation Services

Smartcat is an innovative AI-powered platform specializing in translation and localization solutions for businesses seeking to communicate globally. The platform offers an array of services including AI translation, AI content generation, and seamless translation management workflows that combine both AI and human inputs. Its marketplace connects users to a vast network of over 500,000 linguists, providing flexibility and scalability in handling diverse linguistic needs. Trusted by entities such as the Fortune 1000, Smartcat significantly reduces translation costs and time while maintaining high-quality outputs. The platform's integration with multiple tools and its user-friendly interface support a wide range of content types, from documents to eCommerce sites, making multilingual communication efficient and accessible.

📋 Description

• Evolve our architecture into Next Generation Data Platform • Turn Business Data into AI-Ready Assets • Drive AI-First Data Engineering • Improve Business Intelligence & Data Accessibility • Lead Through Technical Excellence

🎯 Requirements

• 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 • 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-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. • 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

🏖️ Benefits

• A global, connected team • Be part of an AI Native Organization • Innovating a $100 Billion industry • Join the rocketship to scale-up 10x and beyond together • Smartcat Culture Code: Where Diversity Meets High Performance