Search the 11 jobs at Daintta

The System Engineer will scope, design, and deliver mission-critical solutions for government clients in sectors like Cyber Security and National Security. Responsibilities include project management, technical design, client training, and risk analysis while ensuring projects adhere to scope and budget.

As a Technical Consultant at Daintta, you will scope, design, and deliver innovative solutions for government clients, focusing on Cyber Security and Telecommunications. Your responsibilities include managing client relationships, supporting project delivery, and contributing to business development efforts, all while adhering to Daintta's values.

As a Graduate Software Engineer Analyst, you will join a team working on software solutions for government clients in sectors like Cyber Security and Telecommunications. Your key responsibilities include developing software, collaborating with clients, and working with project teams while adhering to industry best practices. You'll have opportunities to grow your expertise in Software Engineering in a dynamic, values-driven environment.

As a Software Engineer Consultant at Daintta, you will design and implement software solutions for public sector clients, collaborating closely to gather requirements and ensure high-quality deliverables. The role involves using various programming languages, frameworks, and technologies, while also staying updated with industry trends to continually enhance your contributions.

As a DevOps Engineer Consultant at Daintta, you will collaborate with public sector clients to design and implement efficient DevOps solutions. Responsibilities include working in agile environments, developing cloud-ready solutions, ensuring robust security, and participating in project delivery, while supporting the company's strategic growth and core values.

The Data Scientist Consultant will work closely with public sector clients to analyze complex data sets, provide insights for decision-making, and develop scalable models for production. Responsibilities include assessing client needs, utilizing various data forms, applying statistical techniques, and collaborating with teams in an agile environment.

As a Data Engineer Consultant, you will develop and implement data engineering pipelines, manage client relationships, and ensure the efficient use of data for analytics and business intelligence in a consultancy setting. Responsibilities include ETL processes, data modeling, and designing cloud-based solutions, while adhering to data compliance and security standards.

As a Data Architect Consultant, you will lead client projects, assess technical needs, identify data sources, and design data solutions including on-premise and cloud-based architectures. You will also develop data governance strategies and support clients in data analysis, machine learning, and business intelligence reporting, all while ensuring data security and compliance with legislation.

As a Technical Consultant at Daintta, you will work closely with government clients to design and deliver innovative solutions in cyber security and related domains. Your responsibilities include leading client engagements, assessing technical needs, configuring and testing systems, and providing expert guidance while managing project risks and maintaining strong stakeholder relationships.

The Bid Manager will coordinate and manage the bid process, ensuring alignment of project scope with client needs and developing winning strategies. Responsibilities include organizing bid meetings, overseeing proposal development, managing stakeholder relationships, collaborating on pricing and resource management, and conducting post-bid analysis. Leadership and mentorship of team members are integral to the role, along with maintaining documentation and market analysis.

The Lead Data Scientist will lead client projects while solving complex data problems using various data science techniques. Responsibilities include assessing client needs, communicating insights, developing scalable models, and ensuring ethical data handling. The role involves collaboration with clients and a focus on continuous innovation and improvement in data methodologies.