Data Engineers/Data Architecture
- Industry Type
- Architecture, Interior Designing
- Functional Area
- Architecture, Interior Design
- Nationality
- Any
- Keywords
- Technology Recommendation
Job Description
Opus Recruitment Solutions Ltd is looking for Data Engineers or Data Architecture professionals to support the design, implementation, and improvement of modern data solutions. The role involves participating in data strategy and technology discussions within the architecture and interior design industry in London.
- Position
- Data Engineers/Data Architecture
- Company
- Opus Recruitment Solutions Ltd
- Location
- London, United Kingdom
- Industry
- Architecture, Interior Designing
- Experience
- 1 to 20 years
Responsibilities
- Provide support in the architecture, implementation, and optimization of contemporary data solutions.
- Participate in data strategy discussions, architecture deliberations, and technology recommendation sessions.
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About the role: Data Engineers/Data Architecture
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Data Engineers and Data Architects design, build, and manage the data systems that support architecture and interior design projects. They work to organize and optimize data flow, ensuring that design teams have accurate and accessible information. These professionals typically work in design firms, construction companies, or technology departments related to architecture and interior design.
What this role usually involves
- Develop and maintain data pipelines and databases to support design projects.
- Collaborate with architects and designers to understand data needs and requirements.
- Ensure data quality, security, and accessibility for project teams.
- Optimize data storage and retrieval processes for efficiency.
- Integrate various data sources and systems used in design and project management.
- Support data analysis and reporting to aid decision-making in design projects.
Skills employers usually look for
- Strong knowledge of database management and data warehousing.
- Proficiency in programming languages such as SQL, Python, or similar.
- Understanding of data modeling and architecture principles.
- Ability to work with large and complex datasets.
- Good communication skills to collaborate with design and technical teams.
- Problem-solving skills to optimize data systems and workflows.
Usual qualifications
- A degree or diploma in computer science, information technology, or a related field.
- Training or certification in data engineering or data architecture.
- Familiarity with architecture or design industry software is beneficial.
- Continuous learning to keep up with evolving data technologies and tools.
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