Data engineering

A trusted single source of truth is the backbone of the data and AI-driven enterprise.

Every dashboard, decision and AI use case is only as good as the data underneath it. We build the modern, governed data platform that gives your whole organisation one version of the truth.

Talk to a data architect See the big picture

What “trusted” means

Trust in data comes down to four things.

01

Complete data

Every source and every function in one place — nothing missing, nothing siloed.

Medallion architecture · ETL at scale

02

Timely arrival

Fresh data lands within SLA, automatically, every single time.

Automated ingestion · Observability

03

Accurate data

Validated and quality-checked before anyone relies on it.

Data quality rules · Auto-validation

04

Ease of access

The right people and apps get governed access, in the tools they already use.

Catalog · BI and data APIs

The big picture

What it takes to build a single central source of truth.

Fully automated, on cloud, maintainable and extensible — one governed platform between every source and every use case.

Data sources
Modern data platform on cloud
Use cases
ERP data
Sales & CRM data
Marketing data
HR data
Finance data
Operations data
Partner & external data
Files, logs & IoT
AI-ML & predictive analytics — advanced analytics and forecasting on trusted data
Automated ingestion
Batch and real-time sync of every source into one central lake
BI & analytics
MIS reports and dashboards
Data access
APIs and secure sharing for apps
Single source of truth
Data lakehouse
Raw · bronze
Curated · silver
Data marts · gold
Data lake + warehouse across every function
Data governance
Security
Catalog & lineage
Data quality
Backup & restore
CXO reports & dashboards
Sales & channel analytics
Customer 360
Operations & supply chain analytics
Finance & risk analytics
Predictive analytics & GenAI

A single central data platform enables you to be a data-driven organisation.

Our data engineering offerings

Everything it takes, from the first pipeline to the last dashboard.

01

End-to-end data engineering automation

Pipelines that run themselves, so data lands within SLA with no manual hand-offs.

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02

Data platform migration

Move from legacy and on-prem to a modern cloud lakehouse, GB to petabyte, without disrupting the business.

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03

Data governance

Know what data you have, who owns it and whether to trust it, with DAMA-based governance from assessment to rollout.

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04

DataOps observability

Pipeline health, data quality and cost on one pane, so you catch issues before the business does.

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05

Data model design

Analytics-ready models and marts, built for the questions your business actually asks.

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06

BI reporting

CXO dashboards and MIS reports on one source of truth: one number, everywhere.

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Technology expertise

Deep expertise across the modern data stack.

We are platform-agnostic. Pick a toolset to see what our engineers work with every day.

Data ingestion

Azure Data FactoryEvent HubsIoT HubFabric Data Pipelines

Data lakehouse / warehouse

Azure DatabricksMicrosoft Fabric (OneLake)Synapse AnalyticsADLS Gen2Azure SQL

ETL & transformation

Databricks SparkDelta Live TablesFabric Data EngineeringADF Data Flowsdbt

Data governance

Microsoft PurviewUnity CatalogEntra IDKey Vault

AI-MLOps

Azure Machine LearningAzure AI FoundryAzure OpenAIMLflow

Data access & reporting

Power BIAPI ManagementAzure FunctionsFabric SQL endpoint

Any requirement around a modern data platform? Let’s talk.

Starting fresh, migrating from legacy, or fixing trust in the data you already have — our data architects will help you plan the right platform.

Contact us