Senior Data Engineer – AI First

Smartcat

Senior Data Engineer building AI-first data capabilities for Smartcat. Transforming data platform into an AI-native foundation for decision making and automation.

Posted 7/15/2026full-timeRemote • 🇪🇺 Anywhere in EuropeSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Engineering and Analytics Engineering, with a strong focus on building AI-Ready Data Platforms and improving Business Intelligence. Proven ability to lead complex projects and collaborate with both technical and business stakeholders.

Highest-signal resume keywords

Data EngineeringCloud Data PlatformsDatabricksPython for Data EngineeringAI-Powered Development Workflows

ATS Keywords

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Hard Skills

Data ModelingData Warehousing ArchitecturesData Quality FrameworksData Governance PracticesData OrchestrationSQLAirflowStreaming ArchitecturesEvent-Driven SystemsAutomation of Engineering Tasks

Soft Skills

LeadershipCollaborationCuriosity

Tools & Technologies

Business Intelligence PlatformsProduct Analytics PlatformsCRM PlatformsCustomer Data PlatformsSemantic LayersRAG SystemsVector DatabasesKnowledge Graphs

Industry Keywords

SaaS EnvironmentsAI-First Data EngineeringAI-Native Data ProductsData AccessibilityTechnical Excellence

Tech Stack

Tools & technologies

AirflowCloudPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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