Staff Data Engineer

Staff Data Engineer
Hamburg/Remote

About the Role
As a Staff Data Engineer, you'll play a pivotal role in driving our organization's data-driven transformation. Join our dynamic Reporting and Data Science team and lead the migration from legacy systems to a cutting-edge data platform. Your expertise will be instrumental in setting technical standards, ensuring data integrity, and building a robust infrastructure that empowers our organization to make informed decisions.

Key Responsibilities

• Data Pipeline Leadership: Design, develop, and maintain high-performance data pipelines that are scalable, well-documented, and aligned with our strategic objectives.
• Monitoring and Alerting: Implement robust monitoring systems to proactively identify and address data quality issues, ensuring data integrity and reliability.
• Legacy System Migration: Oversee the seamless transition from legacy systems to the new data platform, minimizing downtime and optimizing data migration processes.
• Platform Development: Create a foundational data platform and framework that supports the work of various data teams across the organization, fostering collaboration and efficiency.
• Standards Enforcement: Establish and maintain data engineering standards, promoting best practices and ensuring consistency across the organization.
• Continuous Improvement: Drive ongoing enhancements to our data infrastructure, identifying opportunities for optimization and innovation to improve data quality and efficiency.

Qualification

• Proven track record in building and managing large-scale data pipelines in complex environments.
• Deep expertise in data orchestration and processing tools (e.g., Apache Airflow, Google Cloud Dataflow, Metaflow).
• Advanced SQL skills, particularly in handling big data environments and complex queries.
• Strong software engineering background with a focus on Python development and experience with distributed systems.
• Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IaC) tools.
• Excellent leadership and communication skills, able to bridge technical and non-technical teams effectively.
• Proven ability to drive projects independently and manage cross-functional teams.
• In-depth knowledge of BigQuery, CI/CD tools, and containerization technologies like Docker is a plus.
• Pragmatic problem-solving skills with a strong focus on delivering results and meeting tight deadlines.

Join our team and be part of a data-driven revolution that will shape the future of our organization!