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WTWorkforceTech

Service

Data Engineering

We design and build enterprise data platforms — from ingestion to consumption — using the modern data stack, so your teams can trust the numbers behind every decision.

70+

Data platforms delivered

5+

Petabytes under management

99.9%

Pipeline uptime SLA

Capabilities

What our data practice delivers

Data warehousing & lakehouse

Snowflake, Databricks, Microsoft Fabric, Azure Synapse, BigQuery and Redshift architectures tailored to your workloads.

ETL / ELT pipeline engineering

Reliable, observable batch and streaming pipelines that move data from source systems into governed, analytics-ready platforms.

Data lakes & governance

Structured data lake design with cataloguing, lineage and access control built in from the start.

Real-time & streaming data

Event-driven and streaming architectures for use cases that can't wait for the next overnight batch.

How we work

Our engagement process

01

Audit

We map source systems, data quality and existing pipeline debt.

02

Architect

Platform and pipeline design chosen for your scale, latency and governance needs.

03

Build

Pipeline and platform build-out with testing, observability and documentation.

04

Enable

Analytics and BI teams enabled with trusted, governed data products.

Technologies we use

SnowflakeDatabricksMicrosoft FabricPower BIPythonSQLApache SparkPostgreSQL
FAQs

Common questions

Let’s Build Your Technology Team

Whether you need a single specialist or a fully managed offshore team, we’ll help you scope, source and onboard the right people — fast.

Hire Talent

Let’s Transform Your Business

From cloud migration to AI implementation, our consultants embed with your team to deliver outcomes — not just recommendations.

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