Aktuelle Jobs im Zusammenhang mit Lead Data Engineer - Frankfurt - SR2 | Socially Responsible Recruitment | Certified B Corporation™
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Lead Data Engineer
vor 1 Monat
Job Title: Lead Data Engineer (Cloud Technologies & Python) - German Speaking
Location: Munich ( But can be fully remote)
Job Description: We are seeking a highly skilled and experienced Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud technologies, expertise in Python, and fluency in German. As a Lead Data Engineer, you will play a critical role in designing, building, and maintaining our data infrastructure, ensuring efficient data processing and storage solutions to support our business needs.
Key Responsibilities:
- Lead the design, development, and deployment of scalable data pipelines and architectures on cloud platforms (AWS, Azure, or Google Cloud).
- Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
- Optimize data processing workflows for performance, reliability, and scalability.
- Implement best practices for data security, governance, and compliance.
- Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
- Troubleshoot and resolve data-related issues, ensuring high availability and performance of data systems.
- Stay up-to-date with emerging technologies and industry trends to drive innovation and efficiency within the team.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience (5+ years) as a Data Engineer, with at least 2 years in a lead or senior role.
- Strong proficiency in Python and experience with other programming languages such as SQL, Java, or Scala.
- Extensive experience with cloud technologies (AWS, Azure, or Google Cloud) and cloud-based data processing frameworks (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
- Solid understanding of data warehousing concepts, ETL processes, and data modelling techniques.
- Experience with big data technologies such as Apache Spark, Hadoop, or similar.
- Proficiency in database management systems (e.g., MySQL, PostgreSQL, MongoDB) and data storage solutions (e.g., S3, BigQuery, Redshift).
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Fluency in German (both written and spoken) is required.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and inclusive work environment.
- The chance to work on cutting-edge technologies and innovative projects.
- Flexible working hours and remote work options.
How to Apply: If you are a passionate and experienced Data Engineer looking to take the next step in your career, we would love to hear from you. Please submit your resume and a cover letter detailing your relevant experience and why you are a perfect fit for this role.
