Two specialist practices. One expert bench.
We partner clients across the two markets we know best — SAP and Data & AI. Every professional is vetted by a practice lead who has delivered the discipline in production.
S/4HANA transformations delivered by experts who have already run them.
We tap into our specialist network to connect you with top-tier SAP professionals. Our consultants combine strong technical grounding with the interpersonal skills needed to work effectively across departments and stakeholders, helping them navigate the inherent complexity of SAP projects.
We cover the full SAP estate — functional, technical and architecture — across every region where major transformations are live. Every professional is vetted by a practice lead who has delivered the discipline in production.
S/4HANA transformations
Greenfield, brownfield and selective data transition programmes at enterprise scale.
Rise with SAP
Move-to-cloud advisory, private edition migrations and BTP extensibility.
Functional coverage
FICO, MM, SD, PP, EWM, TM, PS and industry-specific modules including IS-U, IS-Retail and IS-Oil.
Technical delivery
ABAP on HANA, CDS, RAP, Fiori/UI5, integration via CPI and API Management.
- S/4HANA Solution Architect
- SAP FICO Expert
- SAP MM/SD Expert
- SAP BTP Developer
- SAP Basis Lead
- SAP Programme Director
Partner with the SAP practice.
Start a conversationSnowflake, Databricks and AI experts who turn data programmes into product.
We help organisations build the foundation for becoming truly data-driven. We connect businesses with elite data engineers who design modern data platforms across technologies such as Databricks & Snowflake. We provide specialist talent across machine learning, analytical AI, generative AI, and emerging agentic AI, helping organisations embed intelligence directly into their platforms and products.
Modern data stack market leaders from lakehouse foundations through to production AI, ML and analytics engineering. We work with data teams that treat data as a product, not a report.
Lakehouse platforms
Snowflake, Databricks and BigQuery foundations, governance and cost control.
Analytics engineering
dbt-first pipelines, semantic layers and self-serve analytics.
AI & machine learning
MLOps, feature stores, LLM applications and production AI service delivery.
Data governance
Cataloguing, lineage, quality and stewardship operating models.
- Head of Data Platform
- Analytics Engineer (dbt)
- ML / AI Engineer
- Data Product Manager
- Snowflake Architect
- Databricks Lead
Partner with the Data & AI practice.
Start a conversationThe expertise we are engaging right now.
These are the profiles our clients ask for most across both markets, and the requirements we look for when introducing professionals to an engagement.
S/4HANA Solution Architect
Leading design across greenfield, brownfield and selective data transition programmes at enterprise scale.
- Multiple full-lifecycle S/4HANA programmes as design authority
- Strong grounding in at least two core functional areas
- Comfortable presenting design decisions to executive stakeholders
SAP Functional Expert (FICO, MM/SD, EWM, PP)
Hands-on configuration and process design alongside client teams through build, test and hypercare.
- Deep module expertise with recent S/4HANA exposure
- Experience working across business and IT stakeholders
- Track record of clean cutovers and stable hypercare
SAP Technical & BTP Specialist
ABAP on HANA, CDS, RAP, Fiori/UI5 and integration through CPI and API Management.
- Modern ABAP and clean-core extensibility experience
- Integration delivery in complex hybrid landscapes
- Able to work inside client engineering standards
Data Platform Engineer (Databricks / Snowflake)
Designing and building modern lakehouse foundations with governance and cost control built in.
- Production experience on Databricks or Snowflake at scale
- Strong SQL, Python and infrastructure-as-code practice
- Comfortable owning platform decisions with client teams
Analytics Engineer
dbt-first pipelines, semantic layers and self-serve analytics that business teams actually adopt.
- dbt in production with tested, documented models
- Ability to translate business definitions into a semantic layer
- Experience partnering directly with analysts and product owners
ML / AI Engineer
Machine learning, analytical AI, generative AI and emerging agentic AI embedded into platforms and products.
- Models and AI services running in supported production environments
- MLOps, evaluation and monitoring experience
- Pragmatic view of governance, security and cost