What We Offer

Our Services

End-to-end data and AI consultancy — from strategy and architecture through to production engineering, AI deployment, analytics, and cloud migration. Every engagement tailored to your goals, your stack, and your team.

Data Strategy
01 — Data Strategy

Build the foundation every data initiative needs

Most data failures stem from the absence of a clear strategy, not technology gaps. We work alongside your leadership to assess maturity, understand objectives, and create a pragmatic roadmap that delivers results in the short term while building long-term capability.

What we deliver
  • Data maturity assessment across people, processes, and technology
  • Prioritised 12–18 month roadmap with business case per initiative
  • Data governance framework and data ownership model
  • KPI framework aligned to business objectives
  • Technology selection and build vs buy analysis
Discuss Your Strategy →
Data Engineering
02 — Data Engineering

Azure data platforms built for the real world

We design and build end-to-end Azure data platforms using the modern Microsoft toolchain. Our metadata-driven approach makes your platform configurable rather than brittle — scalable from day one.

We handle batch and streaming on the same unified architecture: Spark Streaming on Databricks consuming from Kafka and Azure EventHub, alongside ADF batch pipelines. Unity Catalog governs lineage, access, and data contracts across the estate.

What we deliver
  • Medallion lakehouse architecture (Bronze / Silver / Gold) on Azure
  • Metadata-driven ingestion framework via Azure Data Factory
  • Batch and streaming pipelines — Kafka, Event Hub, ADF
  • PySpark and Spark Streaming on Azure Databricks
  • Unity Catalog governance — lineage, access, data contracts
  • Key Vault credential management and security hardening
  • ADLS Gen2 storage layer design and optimisation
  • Data quality monitoring, alerting, and SLA frameworks
Azure Data Factory Databricks PySpark Spark Streaming Kafka Event Hub Unity Catalog Key Vault ADLS Gen2
Build With Us →
AI and Machine Learning
Artificial Intelligence & ML
03 — AI & Machine Learning

Production AI built on your data, for your business

We build AI and machine learning solutions that are grounded in reality — your data, your constraints, your business goals. From classic predictive models to LLM-powered applications and computer vision systems, every solution we deliver is production-ready, explainable, and maintained.

We work across the AI spectrum: supervised and unsupervised ML, time series forecasting, natural language processing, retrieval-augmented generation (RAG) with Azure OpenAI, and custom fine-tuning where appropriate.

What we deliver
  • Predictive modelling — churn, demand, pricing, fraud, risk
  • LLM-powered applications using Azure OpenAI and RAG architectures
  • Time series forecasting and scenario modelling
  • Computer vision and image classification systems
  • NLP pipelines — document intelligence, sentiment, entity extraction
  • MLOps — model versioning, monitoring, and production deployment
  • AI strategy and responsible AI framework design
Azure OpenAI Python · scikit-learn PyTorch Hugging Face MLflow Azure ML Databricks
Discuss an AI Project →
Power BI Analytics
04 — Power BI & Analytics

Dashboards your whole organisation will act on

The best dashboard gets opened every morning and drives a decision before lunch. We build Power BI platforms grounded in a well-engineered semantic layer — one agreed definition for every metric, one place to find it, one team responsible for it.

What we deliver
  • Semantic layer and tabular data model design (Tabular Editor, DAX)
  • Executive, operational, and self-service Power BI dashboards
  • Row-level security and workspace governance
  • Incremental refresh and report performance optimisation
  • Power BI Embedded integration into existing applications
  • Machine learning insights surfaced directly in Power BI
  • User adoption programmes and train-the-trainer delivery
Power BI Premium DAX Tabular Editor Tableau Looker
See Our Dashboards →
Cloud Migration
05 — Cloud Migration

Move your data safely — on-premise to Azure, AWS to Azure

Whether migrating a legacy on-premise estate or consolidating an AWS platform following an acquisition — we manage the complexity so your team doesn’t have to. Every migration includes an automated data validation and reconciliation framework. We don’t go live until we — and you — are confident.

What we deliver
  • Migration discovery, full inventory, and risk assessment
  • On-premise SQL Server / Oracle → Azure Synapse / SQL Managed Instance
  • AWS Redshift, S3, Glue → Azure Synapse, ADLS Gen2, ADF
  • Source-to-target mapping and transformation logic
  • Automated data validation and reconciliation framework
  • Phased cutover with parallel running and rollback plan
  • Post-migration monitoring, support, and optimisation
Azure Synapse SQL Managed Instance Azure DMS AWS S3 · Glue · Redshift
Plan Your Migration →
Data Architecture
06 — Data Architecture

Architecture that stands up under real-world pressure

The choices you make about data architecture today will either accelerate or constrain your business for years. We help you make those decisions with a clear-eyed view of trade-offs, total cost of ownership, and future AI and analytics capability requirements.

What we deliver
  • Current-state architecture review and gap analysis
  • Target architecture design — cloud, hybrid, or on-premise
  • Technology selection with cost modelling and TCO analysis
  • AI-ready architecture design — feature stores, model serving, MLOps
  • Security, compliance, and data access control design
  • Architecture standards and binding reference documentation
  • Prioritised implementation roadmap with phased business cases
Review Your Architecture →
Training and Coaching
07 — Training & Coaching

Build the capability to own and operate your own platform

A consulting engagement should leave you more capable — never more dependent. Knowledge transfer is built into every project. For teams that need dedicated upskilling, we run bespoke training and coaching programmes grounded in your real platform and real challenges.

Programmes are hands-on, not slide-deck-heavy. Engineers work on real tasks, review real code, and take genuine ownership as the programme progresses. We also offer access to careerswerve.io for ongoing structured learning.

What we deliver
  • Bespoke training curriculum built around your platform and tools
  • Azure Databricks, PySpark, Spark Streaming, Unity Catalog
  • Azure Data Factory, dbt, Power BI, Python for data engineering
  • AI & ML fundamentals — from model building to MLOps
  • Architecture coaching and design review office hours
  • 1:1 and group mentoring for engineers and technical leads
  • careerswerve.io team plan for ongoing structured learning
Discuss a Programme → careerswerve.io ↗
Work with us

Ready to transform your data capability?

Every engagement starts with a free, no-obligation discovery call. Tell us where you are and where you want to be.

Book Free Consultation → View Case Studies