Senior Data Engineer (m/f/d)

When Data Calls, We Reply !

As a Senior Data Engineer, you will lead the design and implementation of sophisticated data systems that support critical business functions across our organization. This role demands a deep understanding of data processing technologies, database management, and an ability to mentor other engineers while driving forward innovative data projects.

Activities

• Architecture Design: Architect and develop advanced data models and database management systems that support scalable, efficient, and robust data operations.
• Data Pipeline Management: Design, construct, install, test, and maintain highly scalable data management systems. Ensure systems meet business requirements and industry practices.
• Data Integration Leadership: Develop and manage a team to implement complex data projects involving multiple data sources and high volumes of data.
• Advanced Analytics Infrastructure: Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS, Azure, or Google Cloud big data technologies.
• Technical Mentoring: Guide and mentor junior data engineers in their roles. Encourage continuous learning and development of the team.
• Stakeholder Engagement: Collaborate with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Project Management: Oversee the timeline and deliverables for data infrastructure projects, ensuring they align with business goals.
• Innovation and Strategy: Evaluate new technologies and analytics tools to improve and optimize the performance of data handling and processing.

Requirements

• Educational Background: Bachelor's or master's degree in CS, Engineering, Data Science, or a related field.
• Significant Experience: Proven experience in a data engineering role, with scaling and managing data pipelines.
• Expertise in Programming: Proficiency in programming languages such as Java Kotlin or Scala
• Big Data Technologies: Expert knowledge of big data technologies (e.g., Hadoop, Spark) and data modeling.
• Cloud Platforms: Strong experience with cloud services like AWS, Azure, or Google Cloud, including the design and deployment (GitOps) of scalable cloud-based data systems.
• Data Lakes: Knowledge and understanding of Data Lakes / Lakehouse building tradeoffs and optimization
• Analytical Skills: Strong ability to analyze data and enhance data quality and efficiency.
• Leadership Qualities: Demonstrated leadership skills with the ability to drive projects, mentor teams, and manage stakeholders.
• Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams and explain complex technical details in a clear, understandable manner.

Team

Data Reply, as part of the Reply Group, offers a wide range of services to help clients become data-driven. The team is active in various industries and business areas and works intensively with customers to help them achieve meaningful results through the effective use of data.

- Project team size at Data Reply: generally between 2 and 8 people

Application Process

1. Technical Interview

2. HR Interview

3. Final talk regarding your contract :-)