Senior Software Engineer - Data

TrustYou; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote-friendly

Six learning days per year

Flexible working hours

Career development and coaching

Team events and culture

Job summary

TrustYou is seeking a Senior Data Engineer to lead the design and implementation of our core data infrastructure, leveraging AI-native engineering and agentic AI workflows. You will own distributed, real-time architectures, build robust pipelines, and uphold high-quality AI code generation.

You will mentor engineers and drive architectural excellence across the data stack. The role emphasizes hands-on ownership, deep Kafka and ClickHouse expertise, and collaboration within a remote-first,

Qualifications

• 10+ years of professional experience, with 5+ years focused on Data Engineering.
• Deep Kafka expertise for building scalable, real-time architectures.
• Strong OLAP experience, expertise in ClickHouse preferred.
• Fluency in Python and SQL for complex data manipulation.
• Experience with Claude Code for agentic AI-assisted development.
• Hands-on Docker, Kubernetes and automated CI/CD pipelines.
• Extensive use of open-source tools in the modern data stack.
• Excellent communication and collaboration in a transparent, feedback-driven environment.

Responsibilities

• Architect and drive end-to-end data infrastructure with a focus on scalability and maintainability.
• Design and optimize production-grade, real-time data pipelines.
• Lead Spec-Driven Development and Model Context Protocol for reliable AI code generation.
• Orchestrate AI workflows with Claude Code to accelerate development.
• Mentor junior engineers and participate in architectural reviews.

Skills

Kafka

ClickHouse

Python

SQL

Docker

Kubernetes

CI/CD

Open-source tools

Distributed systems

Real-time streaming

English fluency

Tools

Git

Redis

Elasticsearch

Job description

Location: Germany; Romania; Spain

Senior Data Engineer

Location: Germany / Spain / Romania (Remote)

The Role

As a Senior Data Engineer, you will drive the end-to-end development of our core data infrastructure through AI-native engineering. Championing our AI DevEx approach, you will orchestrate AI agents to rapidly build, scale, and refactor high-performance systems.

We are looking for a technical expert who takes hands-on ownership of distributed, real-time architectures. Leveraging your deep data engineering expertise, you will construct the robust pipelines that power our next-generation data products.

In your role, you will make an impact by….

Developing and driving the architecture of complex data systems that prioritize scalability, reliability, and long-term maintainability.

Designing and optimizing production-grade data pipelines, with a primary focus on high-throughput, real-time streaming.

Driving Spec-Driven Development (SDD) using OpenSpec or GitHub Spec Kit to create strict engineering contracts that ensure predictable, high-quality AI code generation.

Orchestrating agentic AI workflows with Claude Code and the Model Context Protocol (MCP) to rapidly build, refactor, and scale our data infrastructure.

Taking full accountability and ownership of system components, working in a self-sufficient manner to solve deep technical challenges.

Implementing rigorous testing and monitoring frameworks to ensure the integrity of mission-critical data.

Mentoring junior engineers and fostering a culture of technical excellence through open feedback and architectural reviews

You are a perfect fit, if you have…

10+ years of professional experience, with 5+ years specifically focused on Data Engineering.

Deep technical expertise with Kafka (including Producers, Consumers, and Stream Processing) for building scalable, real-time architectures.

Strong experience with OLAP databases (expertise in Clickhouse is highly preferred).

Good fluency in Python and SQL for complex data manipulation, optimization, and system building.

Willingness to embrace highly agentic AI-assisted development, specifically using Claude Code to autonomously navigate codebases, execute multi-step engineering tasks, and accelerate development cycles while maintaining high code quality.

Strong hands-on experience with Docker, Kubernetes, and automated CI/CD pipelines.

Significant experience with open-source tools and technologies within the modern data stack.

Excellent communication skills and a desire to work in an environment based on transparency and feedback.

• Fluency in English

Ideally, you also have…….

• Previous experience or knowledge working with Redis or Elasticsearch.

• A proactive approach to architectural decision-making and a history of leading complex technical projects from conception to production.

• A collaborative mindset that values mentorship and the continuous improvement of engineering processes.

• Experience optimizing distributed system performance at significant scale.

And most importantly, what's in it for you...

Global & Diverse Team: Work in a collaborative, multicultural environment.

Flexibility: Flexible working hours to help you shape your own work-life balance.

Remote-First: A truly remote-friendly environment.

Growth: Ongoing career development, training, and coaching.

Learning Time: Six dedicated days per year for learning and development.

Culture: Regular team events (in-person and virtual) and location-based social benefits.

About TrustYou

TrustYou is a leading AI-driven hospitality platform dedicated to transforming guest experiences and empowering businesses to thrive. With a multicultural team of over 120 professionals working remotely across the globe, we help companies grow by achieving customer excellence.

Our product suite includes:

• Customer Experience Platform (CXP): AI-powered insights for exceptional guest experiences.

• Customer Data Platform (CDP): AI-powered data management for more direct bookings.

• AI Agents: Intelligent, 24/7 agents that boost productivity and optimize conversions.

TrustYou is an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of gender, background, religion, orientation, age, or ability.