ENGINEERING CAPABILITIES
Build the engineering capability that will evolve your systems
From Tangier, Digital Place designs and builds engineering teams tailored to the software, Data and AI challenges of French and European businesses.
We bring together the skills, technical leadership and delivery practices needed to build a lasting capability, integrated into your organisation and able to evolve with its needs.
Three ways to build your capability
Depending on your organisation, maturity and objectives, we can help from the design of the operating model through to building and supporting the team.
Design the capability
Capability Design
Define the right organisation before bringing in the skills: roles, seniority, responsibilities, collaboration methods, technical environment, security and development path.
Deliverable: a documented capability model, together with a plan for building and scaling it.
Build a dedicated team
Dedicated Engineering Team
Assemble a team around your product and technical priorities, with identified leadership, complementary skills and a clear framework for collaboration.
Digital Place organises team formation, onboarding and ongoing support. Your organisation retains control of business direction and product priorities.
Structure a managed capability
Managed Engineering Capability
Combine the team with a broader engineering framework: technical leadership, quality standards, security, delivery practices, documentation and performance monitoring.
Responsibilities, resources and service commitments are defined with you according to the system and the capability to be built.
The skills that shape your team
Skills aligned with your systems
Teams are built around the systems to be developed and the skills actually needed, rather than a catalogue of profiles.
Software & Product Engineering
Business applications, platforms, digital services, APIs, integration and systems evolution.
Data, Machine Learning & AI
Data engineering, analytics, model development, integration of AI capabilities and productionisation.
Architecture & Technical Leadership
Systems design, foundational decisions, technical coherence, integration with information systems and team support.
Quality & Assurance Engineering
Test strategies, automation, change control, application security and risk management.
Platform & DevOps Engineering
Development and delivery environments, CI/CD, deployment and observability, with skills brought in according to the requirements of the engagement.
A single team can bring together several of these disciplines when the complexity of the project calls for it.
From your needs to an operational team
- 01
Define
Understand the systems involved, expected outcomes, integration constraints and responsibilities to be covered.
- 02
Compose
Define roles, identify skills, assess their fit and build a coherent mix of seniority and complementary capabilities.
- 03
Integrate
Organise the team’s onboarding: context, working environments, access, methods, key contacts and initial objectives.
- 04
Support
Monitor work quality, skills, risks, continuity and the adjustments needed as requirements evolve.
A progressive approach, adapted to each organisation’s context.
Engineering-led teams
Teams, practices, outcomes
The quality of an engineering capability depends as much on how it operates as on the skills it brings together.
Depending on the engagement model, Digital Place establishes a working framework around four requirements.
Leadership and responsibilities
Identified technical leadership, explicit decisions and a clear allocation of responsibilities between the client and Digital Place.
Quality and change control
Practices adapted to the context: code reviews, test strategy, acceptance criteria and controlled releases.
Security and control
Environments, access, data and tools used in accordance with the client’s policies and the system’s requirements.
Continuity and knowledge transfer
Documentation, knowledge sharing, skills monitoring and preparation for changes to the team.
AI in support of engineering work
Where the context and the client’s rules allow, AI tools can assist development, testing, analysis and documentation. Their use is governed by the team’s quality, security and review practices. Technical decisions and accountability for the outcome remain explicit.
Tangier · Paris
Engineering in Tangier, leadership in Paris.
Tangier
Digital Place’s engineering capability is based in Tangier.
Paris
Its leadership is also present in Paris, working closely with businesses and partners in the French market.
This organisation supports collaboration tailored to European teams, with identified contacts, regular exchanges and a jointly defined delivery framework.
Working arrangements, technical environments and data access are established according to the client’s requirements and the contractual scope.
From team to engineering centre
A capability that grows with your ambitions
Establish
Set up an initial team, its responsibilities, practices and understanding of the context.
Structure
Strengthen leadership, cross-functional disciplines, governance and continuity to support a larger operation.
Develop a centre
Explore a lasting engineering organisation, including its resources, operating model, commitments and growth path.
Let’s discuss your project
What capability would you like to build?
A team to accelerate a product, strengthen your Data/AI engineering or structure a lasting technical operation?
Let’s discuss the system involved, the skills needed and the level of support you are looking for. Together, we can define an initial working framework.