Senior Data Engineer

TrustYou·Remote(Munich)
Software Development
Excel

WFA Digital Insight

As the demand for expert data engineers continues to soar, with a 27% increase in remote data engineering roles in the past year, TrustYou's Senior Data Engineer position stands out in the current job market. With a strong focus on AI-native engineering and a multicultural team of over 120 professionals, this role is perfect for those who thrive in collaborative environments. Candidates should be well-versed in Kafka, OLAP databases, and Python, with a keen interest in embracing AI-assisted development. Before applying, it's essential to understand the company's commitment to transparency, feedback, and employee growth.

Job Description

About the Role

The Senior Data Engineer position at TrustYou is a key role that drives the end-to-end development of the company's core data infrastructure through AI-native engineering. As a technical expert, you will champion TrustYou's AI DevEx approach, orchestrating AI agents to rapidly build, scale, and refactor high-performance systems. You will be part of a multicultural team of over 120 professionals working remotely across the globe, with a strong focus on collaboration, transparency, and feedback.

The role entails developing and driving the architecture of complex data systems that prioritize scalability, reliability, and long-term maintainability. You will work closely with the team to design and optimize production-grade data pipelines, with a primary focus on high-throughput, real-time streaming. Your expertise in data engineering will be crucial in constructing robust pipelines that power TrustYou's next-generation data products.

What You Will Do

  • Develop and drive the architecture of complex data systems, prioritizing scalability, reliability, and long-term maintainability
  • Design and optimize production-grade data pipelines, focusing on high-throughput, real-time streaming
  • Drive Spec-Driven Development (SDD) using OpenSpec or GitHub Spec Kit to create strict engineering contracts
  • Orchestrate agentic AI workflows with Claude Code and the Model Context Protocol (MCP) to rapidly build, refactor, and scale data infrastructure
  • Take full accountability and ownership of system components, working in a self-sufficient manner to solve deep technical challenges
  • Implement rigorous testing and monitoring frameworks to ensure the integrity of mission-critical data
  • Mentor junior engineers and foster a culture of technical excellence through open feedback and architectural reviews
  • Collaborate with the team to identify and prioritize project requirements
  • Develop and maintain technical documentation for data systems and pipelines
  • Ensure compliance with industry standards and best practices for data engineering

What We Are Looking For

  • 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
  • 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

Nice to Have

  • Experience with Excel for data analysis and visualization
  • Knowledge of cloud-based data platforms (e.g., AWS, GCP, Azure)
  • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
  • Certification in data engineering or a related field

Benefits and Perks

  • 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

How to Stand Out

  • Develop a strong understanding of Kafka, OLAP databases, and Python to increase your chances of success in this role
  • Showcase your experience with AI-assisted development and agentic AI workflows in your portfolio or resume
  • Be prepared to discuss your approach to Spec-Driven Development and engineering contracts during the interview
  • Highlight your ability to work in a self-sufficient manner and solve deep technical challenges
  • Research TrustYou's commitment to transparency, feedback, and employee growth to demonstrate your interest in the company culture
  • Prepare examples of your experience with Docker, Kubernetes, and automated CI/CD pipelines to share during the interview

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