Principal Data Engineer

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

JobGet is seeking a Senior Data Architect to lead the technical direction of data flow and platform architecture. You will own the data stack, drive architectural decisions, and champion modern data practices to ensure reliability and scalable pipelines.

The role emphasizes ML/AI-enabled systems, data governance, and mentorship across teams, requiring extensive data engineering background and strong communication skills.

Qualifikationen

• 10+ years of data engineering experience.
• 3–5 years operating at a principal or staff IC level in a start-up environment.
• Production-grade experience with Snowflake and dbt.
• Experience with real-time streaming technologies such as KSQL or Apache Flink is strongly preferred.
• Hands-on AWS experience at scale.
• DataOps experience: familiarity with CI/CD for data pipelines.
• Significant, demonstrated AI usage in your day-to-day engineering work.
• Expert-level proficiency in Python and SQL.
• Strong data modeling background.
• Experience building data infrastructure that supports ML/AI systems.
• Demonstrated track record of setting technical standards across teams.
• Strong grasp of data governance fundamentals.
• Exceptional communication and stakeholder management skills.

Aufgaben

• Lead the technical direction for how data flows, scales, and powers decisions at JobGet.
• Own the data architecture behind the platform.
• Drive architectural decisions.
• Champion modern data stack adoption.
• Ensure platform reliability.
• Build production-grade pipelines.
• Establish data modeling standards.
• Solve complex data integration and performance challenges.
• Architect and evolve streaming data infrastructure.
• Enable machine learning at scale.
• Establish data governance standards.
• Implement data validation frameworks.
• Raise the technical bar through mentoring.

Kenntnisse

Data Architecture

Data Modeling

Python

SQL

AWS

DataOps

Machine Learning

Real-Time Streaming

CI/CD for Data Pipelines

KSQL

Tools

Snowflake

dbt

Apache Flink

KSQL

Jobbeschreibung

• Lead the technical direction for how data flows, scales, and powers decisions at JobGet
• Own the data architecture behind the platform
• Drive architectural decisions
• Champion modern data stack adoption
• Ensure platform reliability
• Build production-grade pipelines
• Establish data modeling standards
• Solve complex data integration and performance challenges
• Architect and evolve streaming data infrastructure
• Enable machine learning at scale
• Establish data governance standards
• Implement data validation frameworks
• Raise the technical bar through mentoring

Requirements

• 10+ years of data engineering experience
• 3–5 years operating at a principal or staff IC level in a start-up environment
• Production-grade experience with Snowflake and dbt
• Experience with real-time streaming technologies such as KSQL or Apache Flink is strongly preferred
• Hands-on AWS experience at scale
• DataOps experience: familiarity with CI/CD for data pipelines
• Significant, demonstrated AI usage in your day-to-day engineering work
• Expert-level proficiency in Python and SQL
• Strong data modeling background
• Experience building data infrastructure that supports ML/AI systems
• Demonstrated track record of setting technical standards across teams
• Strong grasp of data governance fundamentals
• Exceptional communication and stakeholder management skills

Core Competencies

Demonstrates extensive expertise in data engineering, including building production-grade data pipelines and architecting data infrastructure that supports machine learning and AI systems. Proficient in establishing data governance standards and driving the adoption of modern data stacks while ensuring platform reliability.

Highest-signal resume keywords

• Data Engineering Experience
• Production-Grade Experience with Snowflake
• Expert-Level Proficiency in Python
• Real-Time Streaming Technologies
• DataOps Experience

Hard Skills

• Data Architecture
• Data Modeling
• Machine Learning
• Data Integration
• Data Validation
• Python
• SQL
• AWS
• CI/CD for Data Pipelines
• KSQL

Soft Skills

• Exceptional Communication
• Stakeholder Management
• Mentoring

Industry Keywords

• Data Governance
• DataOps
• Streaming Data Infrastructure
• Modern Data Stack
• Technical Standards

Tools & Technologies

• Snowflake
• Dbt
• Apache Flink