Data Engineer - Munich
Data Engineer - Munich
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Job Description
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 employers 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 datadriven decisionmaking 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 datarelated 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 cloudbased data solutions (e.g. AWS Azure Google Cloud Platform).
- Strong problemsolving 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.
Employment Type
Full Time
