Data Engineer - Munich

Yeah! Global; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading technology firm in Munich is seeking a skilled Data Engineer to design and maintain data pipelines that ensure efficient data flow. You will be responsible for integrating and organizing raw data, collaborating with data scientists, and implementing ETL processes. The ideal candidate holds a Bachelor's degree in Computer Science, has strong SQL skills, and is familiar with big data technologies. This role offers a dynamic work environment and opportunities for professional growth.

Qualifikationen

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases.
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.

Aufgaben

• Design, develop, and maintain scalable and efficient data pipelines.
• Integrate, clean, and organize raw data from various sources.
• Implement and manage ETL processes to ensure data quality.

Kenntnisse

SQL proficiency

Data integration tools

Programming languages (Python, Java, Scala)

Problem-solving skills

Communication skills

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

MySQL

PostgreSQL

Oracle

Hadoop

Spark

Kafka

Talend

Apache NiFi

AWS

Azure

Google Cloud Platform

Amazon Redshift

Google BigQuery

Docker

Kubernetes

Jobbeschreibung

Note: This position does not offer any Visa sponsorship. We are only looking for applicants who are either local to Munich, Germany, or ready to relocate to the employer's location.

Job Summary

Our Client is looking for a skilled Data Engineer to join their team. The ideal candidate will be responsible for designing, implementing, and maintaining data pipelines that ensure efficient and reliable data flow across our systems. You will work closely with data scientists, analysts, and other stakeholders to support data‑driven decision‐making processes.

Key Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines.
• Integrate, clean, and organize raw data from various sources into structured formats.
• Develop and maintain data warehouses and data lakes to support analytics and business intelligence needs.
• Implement and manage ETL (Extract, Transform, Load) processes to ensure data quality and consistency.
• Optimize database performance and query execution.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Ensure data security and compliance with relevant data protection regulations.
• Monitor and troubleshoot data-related issues and provide timely resolutions.
• Document data engineering processes, architectures, and workflows.

Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
• Experience with data integration tools and platforms (e.g., Talend, Apache NiFi).
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of cloud‑based data solutions (e.g., AWS, Azure, Google Cloud Platform).
• Strong problem‑solving and analytical skills.
• Excellent communication and teamwork abilities.

Preferred Skills

• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of data governance and data privacy regulations.
• Certification in data engineering or related fields.