Data Engineering & Data Management

Reliable data foundations for modern organisations.

Glocomms helps organisations design, build and operate data platforms, pipelines and analytics-ready environments that make business information easier to trust, access and use.

Cloud data platforms DataOps BI & Analytics

How we help

Data services built around practical business needs.

01

Data platform delivery

Design and implementation of scalable data platforms that support reporting, analytics, automation and operational use cases.

Discuss a project
02

Pipeline engineering

Robust data pipelines for ingestion, transformation, validation and delivery across cloud, database, API and file-based sources.

Build with us
03

Operational data support

Monitoring, maintenance, documentation and improvement of data workflows so critical information remains available and reliable.

Improve operations

Expertise

Turning fragmented data into dependable assets.

Glocomms works across the data lifecycle to reduce manual effort, improve quality and make information more useful for decision makers.

Cloud Data Engineering

Modern cloud architectures designed for performance, scalability and controlled cost.

Data Warehousing

Clean analytical models for business intelligence, finance, sales, marketing and operations.

Data Quality

Validation rules, reconciliation checks and quality controls that increase confidence in reporting.

Data Integration

Connection of CRM, ERP, ecommerce, marketing, finance, API and legacy data sources.

Data Migration

Structured movement from older systems to modern platforms with traceability and control.

DataOps

CI/CD, monitoring, testing and documentation practices for dependable data operations.

Outcomes

What better data engineering makes possible.

A strong data foundation helps organisations make faster decisions, reduce manual work and identify opportunities earlier.

Trusted reporting

Consistent data models and automated checks reduce conflicting numbers and manual reconciliation.

Faster delivery

Automated pipelines turn raw data into useful outputs without slow, repetitive manual processes.

Scalable operations

Well-designed platforms support growth without creating fragile systems or unnecessary complexity.

Technology

Working with modern data stacks.

Glocomms supports cloud platforms, analytical databases, orchestration tools and business intelligence environments used by data-driven teams.

Azure SQLSynapseData FactoryDatabricksdbtSnowflakeBigQueryPower BIPythonAirflow

Process

A clear approach for complex data work.

1

Discovery

We review business priorities, data sources, workflows and current pain points.

2

Architecture

We define the platform, integrations, security, modelling and delivery approach.

3

Build

We develop pipelines, models, tests, automation and documentation.

4

Operate

We monitor quality, performance, costs and ongoing platform improvement.

Use cases

Common projects supported by Glocomms.

Customer Data

Unified customer view

Integration of sales, marketing and service information to support segmentation and analytics.

Finance

Reliable reporting

Automated control models that reduce manual reconciliation and improve reporting consistency.

Operations

Workflow automation

Data pipelines that replace recurring manual tasks with controlled, monitored processes.

Contact

Build a more reliable data foundation.

Speak with Glocomms about data engineering, integration, quality, analytics enablement or platform operations.