Data & AI Principal Consultant UK
Adesso Belgium3 days ago
London, United KingdomStaff+
Responsibilities
- Lead client delivery for data, analytics, AI, and business requirements.
- Design, develop, and implement scalable data processing, data integration, analytics, and applied AI solutions.
- Provide hands-on technical leadership across Microsoft Fabric, Azure Databricks, Snowflake, Azure Data Factory, Azure Synapse, and related services.
- Lead or support architecture, engineering, implementation, and technical assurance activities.
- Own project delivery for quality, scope, schedule, budget, risks, governance, and customer outcomes.
- Produce technical designs, documentation, implementation guidance, and knowledge-transfer materials.
- Develop best practices, standards, delivery methods, reusable assets, case studies, accelerators, and reference architectures.
- Execute the UK Data & AI practice strategy and develop propositions for data platforms, analytics, AI, and GenAI services.
- Identify market opportunities, build customer relationships, support account growth, and lead pre-sales activities.
- Conduct discovery workshops, proposals, estimates, solution designs, demonstrations, and presentations.
- Contribute to resource planning and ensure the practice has the capability to deliver successfully.
- Build a local Data & AI community, set team expectations, and recruit, coach, manage, and develop technical consultants and engineers.
- Lead or contribute to internal and international communities of practice.
- Share applied AI and GenAI knowledge and advise on architecture, delivery processes, governance, operating models, security, quality, and accountability.
- Turn relevant AI developments into customer propositions, internal guidance, and practical delivery approaches.
Requirements
- At least five years of experience in data, analytics, data engineering, cloud, or related technology consultancy.
- Strong hands-on experience designing and delivering modern data solutions in complex client or enterprise environments.
- Practical expertise in one or more of Microsoft Fabric, Databricks, Snowflake, Azure Data Factory, Azure Synapse Analytics, Azure Data Explorer, Azure SQL, data lakes and lakehouses, Azure DevOps, Python, and PySpark.
- Strong understanding of data platform architecture, data integration, large-scale data processing, analytics, and data governance.
- Experience applying AI, GenAI, or Agentic AI to real business or technology challenges.
- End-to-end project delivery experience, ideally including project coordination, financial management, and customer governance.
- Experience recruiting, managing, coaching, and developing technical consultants or engineers.
- Ability to combine strategic thinking with hands-on technical contribution.
- Commercial awareness and experience contributing to pre-sales, proposals, estimates, demonstrations, and presentations.
- Relevant network and ability to attract, engage, and build a high-performing Data & AI team.
- Strong problem-solving, communication, facilitation, stakeholder management, and influencing skills.
- Collaborative leadership style and genuine interest in developing people and sharing knowledge.
- Passion for continuous development across Microsoft Azure, data, analytics, and AI ecosystems.
- Relevant Microsoft Azure, Microsoft Fabric, Databricks, Snowflake, data engineering, or AI certifications are desirable.
- Fluency in spoken and written English.
Benefits
- Opportunity to build and shape a Data & AI practice with influence over its people, propositions, customers, delivery standards, and commercial performance.
- Work alongside experienced colleagues across the UK and internationally.
- Autonomy to make a difference and support to grow your career.