Lead Data Engineering Specialist
vor 4 Wochen
About TechBiz Global GmbH
TechBiz Global GmbH stands as a premier recruitment and software development firm. Our diverse and globally distributed workforce excels in IT recruitment, outstaffing, outsourcing, software development, and various consulting services, all aimed at empowering our partners to achieve their business objectives effectively.
With our headquarters located in Germany, we proudly serve a wide array of successful clients across the globe. Our team possesses firsthand experience with the complexities associated with rapid growth and the IT industry, ensuring that all our services are designed with a technological perspective.
About Our Client: Our Client is engaged in acquiring and scaling profitable enterprises in the United States and Europe. They are in search of a Data Engineering Team Lead to become part of a distinguished end-to-end Data Engineering organization.Position/Main Responsibilities:
As a Data Engineering Team Lead, your role will encompass:
- Leading a team of Data Engineers while collaborating closely with Software Development Engineers (SDEs), Analytics Engineers (AEs), and Infrastructure Engineers (IEs).
- Constructing a modular and adaptable data engineering framework to facilitate ongoing iterative enhancements.
- Serving various departments including eCommerce, Marketing, Supply Chain, Finance, Investment, and Legal.
- Creating data products that support all facets of the business.
- Designing and developing data models and infrastructure in partnership with Analytics and Infrastructure Engineering teams.
- Engaging in hands-on development of data engineering components utilizing innovative tools.
Responsibilities include, but are not limited to:
- Providing leadership and technical direction to the Data Engineering team.
- Collaborating with multiple engineering teams within the technology division.
- Focusing on the continuous enhancement of the data engineering infrastructure.
- Recognizing data as a strategic asset and developing data products accordingly.
- Designing and implementing data models and infrastructure.
- Participating in hands-on development in the data engineering domain.
Basic Qualifications:
- A minimum of 6 years of practical experience in Data Engineering, including roles such as Lead Data Engineer or Senior Data Engineer.
- At least 3 years of managerial experience overseeing a team of Data Engineers.
- Proficiency in onboarding raw datasets from various sources and designing adaptable data models.
- Over 4 years of experience with Multi-Cloud Data Platform Technologies (e.g., GCP, AWS, Azure).
- At least 3 years of experience with Google Cloud Platform, including Big Query and related services.
- Expertise in developing automation and ETL pipelines using Python or similar programming languages.
- Extensive experience collaborating with software developers and analytics engineers.
- Strong background in data modeling, ETL development, and data warehousing.
- Proven ability to communicate effectively with business users, technical teams, and senior leadership.
- Capability to manage multiple competing priorities in a dynamic environment.
- Excellent verbal and written communication skills.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- Master's degree in a relevant discipline.
- Experience in defining data architectures and designing Data Warehouse dimensional models.
- Expertise in constructing and delivering complex, modular data systems with documented interfaces.
- Familiarity with NoSQL and In-Memory Databases is advantageous.
- Knowledge of data engineering best practices, coding standards, and lifecycle processes.
Equal Employment Opportunity Statement:
Our Client is an equal opportunity employer and considers all applicants for employment without any regard to race, skin color, religion, gender identity, sexual orientation, age, disability, or protected classes.
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