Technical Lead - Data Engineering (f/m/x)
at ZEISS Group
München, Bayern, Germany -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 21 Dec, 2024 | Not Specified | 25 Sep, 2024 | N/A | Good communication skills | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
Your Role
- Define technical strategies, architecture, and roadmaps for projects and standardized tooling considering scalability, maintainability, and performance
- Collaborate with stakeholders (data owner, product owner, project manager, KGP stream leads and members, etc.) to translate business requirements into technical solutions
- Oversees the design, development, and maintenance of complex data pipelines, ensuring data integrity, quality, and security
- Provide technical direction and leadership to a team of data engineers
- Work closely with the product owner, senior data engineer and project manager to ensure timely delivery of features and releases
- Write clean, maintainable, and efficient code, perform code reviews, and enforce coding standards and best practices
- Identify potential risks, bottlenecks, and technical challenges and find solutions to mitigate them
- Lead technical research, proof of concepts (POC), and prototyping to assess new tools or solutions
- Leading a team (3-5) of Data Engineers of different levels in different locations
Your Profile
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- 3-5 years of proven experience as a senior data engineer or technical lead, with a strong track record of delivering high-quality software products, including working with large-scale data processing and management systems
- At least 1 year experience leading a team technically
- Strong background in system architecture, software design patterns, and software engineering best practices
- Strong experience Cloud Computing and with Python, Databricks, SQL, Pyspark as well as DevOps implementation (Azure Devops, Jenkins)
- Experience in design and implementation of complex data pipelines by following and ensuring industry standards and best practices
- Extensive experience in clean, maintainable, and efficient code development
- Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders
- Fluent English is a must, German language skills are welcome
Your ZEISS Recruiting Team:
Markus Rep
Responsibilities:
- Define technical strategies, architecture, and roadmaps for projects and standardized tooling considering scalability, maintainability, and performance
- Collaborate with stakeholders (data owner, product owner, project manager, KGP stream leads and members, etc.) to translate business requirements into technical solutions
- Oversees the design, development, and maintenance of complex data pipelines, ensuring data integrity, quality, and security
- Provide technical direction and leadership to a team of data engineers
- Work closely with the product owner, senior data engineer and project manager to ensure timely delivery of features and releases
- Write clean, maintainable, and efficient code, perform code reviews, and enforce coding standards and best practices
- Identify potential risks, bottlenecks, and technical challenges and find solutions to mitigate them
- Lead technical research, proof of concepts (POC), and prototyping to assess new tools or solutions
- Leading a team (3-5) of Data Engineers of different levels in different location
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
München, Germany