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Senior Data Engineering Lead

vor 3 Monaten

Stuttgart, Baden-Württemberg, Deutschland SR2 | Socially Responsible Recruitment | Certified B Corporation™ Vollzeit

Position Title: Senior Data Engineering Lead (Cloud Solutions & Python) - German Proficient

Location: Remote Work Available

Position Overview: We are in search of a highly proficient and seasoned Senior Data Engineering Lead to become a vital part of our innovative team. The ideal candidate will possess a robust background in cloud solutions, mastery in Python programming, and fluency in the German language. In this role, you will be instrumental in architecting, constructing, and sustaining our data infrastructure, ensuring effective data processing and storage mechanisms to fulfill our organizational requirements.

Core Responsibilities:

  • Direct the design, development, and implementation of scalable data pipelines and architectures utilizing cloud platforms (AWS, Azure, or Google Cloud).
  • Engage with cross-functional teams to collect requirements and deliver data solutions that align with business objectives.
  • Enhance data processing workflows for optimal performance, dependability, and scalability.
  • Establish best practices for data security, governance, and regulatory compliance.
  • Guide and mentor junior data engineers, promoting a culture of continuous learning and enhancement.
  • Diagnose and resolve data-related challenges, ensuring high availability and performance of data systems.
  • Remain informed about emerging technologies and industry trends to foster innovation and efficiency within the team.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
  • Demonstrated experience (5+ years) as a Data Engineer, with a minimum of 2 years in a leadership or senior capacity.
  • Strong command of Python and familiarity with additional 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).
  • Comprehensive understanding of data warehousing principles, ETL processes, and data modeling techniques.
  • Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
  • 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 advantageous.
  • Exceptional problem-solving abilities and meticulous attention to detail.
  • Strong communication and collaboration skills, with the capability to work effectively in a team-oriented environment.
  • Fluency in German (both written and spoken) is essential.

What We Provide:

  • Competitive compensation and benefits package.
  • Opportunities for professional advancement and development.
  • A collaborative and inclusive workplace culture.
  • The opportunity to work on innovative technologies and projects.
  • Flexible working hours and options for remote work.

Application Process: If you are a dedicated and experienced Data Engineer looking to elevate your career, we encourage you to reach out. Please submit your resume along with a cover letter outlining your relevant experience and why you would be an excellent fit for this position.