Senior Data Engineer AI (m/f/d)

Jedox AG; Ehrenkirchen; Vor Ort; EUR 60.000 - 95.000; Vollzeit

Zusammenfassung

Join a forward-thinking company as a Senior Data Engineer AI, where you'll shape the data infrastructure for cutting-edge AI/ML services. In this pivotal role, you'll design scalable data pipelines, ensuring high-quality insights for customers. Collaborate with talented teams to innovate in a data-driven landscape, while mentoring junior engineers and advocating for best practices. If you're passionate about leading the AI transformation in Enterprise Performance Management, this is your opportunity to make a significant impact in a dynamic environment.

Qualifikationen

• 8+ years of experience in Data Engineering with a focus on AI/ML.
• Strong skills in designing and implementing data architectures.
• Proficient in Python, SQL, and NoSQL with a background in AI frameworks.

Aufgaben

• Design and manage robust data architectures for AI/ML workflows.
• Ensure data quality, security, and compliance with standards.
• Collaborate with cross-functional teams to deliver impactful data solutions.

Kenntnisse

Data Engineering

AI/ML

Data Architecture

Python

SQL

NoSQL

Data Modeling

Big Data Processing

Streaming Frameworks (Spark, Hadoop, Kafka)

Data Pipeline Orchestration (Airflow)

Tools

Spark

Hadoop

Kafka

Airflow

Jobbeschreibung

What is Jedox?

Your Responsibilities

As a Senior Data Engineer AI at Jedox, you’ll play a central role in shaping the data infrastructure that powers our AI/ML services. You’ll lead the design and development of scalable, secure, and efficient data pipelines, ensuring our platform delivers high-quality, reliable insights to customers. Your work will directly support AI-driven analysis, helping us innovate and grow in a data-driven world.

• Independently design, build, and manage robust data architectures and pipelines for AI/ML workflows.
• Ensure data quality, security, and compliance with regulatory standards.
• Select and manage effective data storage and processing solutions optimized for AI workloads.
• Collaborate closely with AI engineers, product managers, and cross-functional teams to deliver high-impact data solutions.
• Mentor junior engineers and share best practices to strengthen team capabilities.
• Stay ahead of industry trends and advocate for technologies that drive continuous improvement.

Your Profile

• Experienced Data Engineer (+8 years) with a passion for and background in AI/ML.
• Skilled in designing and implementing robust data architectures (including data lakes, data warehouses, and data marts).
• Strong experience in data modeling and optimizing storage solutions for both structured and unstructured data, including vector storage.
• Proficient in designing and developing production-ready data solutions for AI/ML, including data observability solutions, big data processing, streaming frameworks (e.g., Spark, Hadoop, Kafka), data pipeline orchestration (e.g., Airflow), and data observability tools.
• Proficient Python developer with strong SQL and NoSQL querying skills, and experience with AI/ML frameworks.
• Ideally familiar with challenges associated with cube-based data sources.
• Proficient in working within agile environments.

Ready to lead the AI transformation in Enterprise Performance Management? Apply now and be part of our journey!