Services

Data Engineering & Platforms

Data engineering that builds the rock-solid, scalable foundations powering every insight, analytics and AI initiative. Talk to our specialists about where your data platform needs to go next.

What We Do

We design and deliver enterprise-grade data engineering platforms, on-premise, cloud (Azure, AWS), or hybrid, that are secure, governed, and future-proof. Whether you need a modern data lake, real-time pipelines, or regulatory-compliant architecture, we turn raw data into a trusted strategic asset. Explore our capabilities below to see how we can help.

Focus Areas

Data Engineering Capabilities

Data Strategy & Architecture

Define a modern, scalable data blueprint aligned to your business and regulatory needs.

We conduct data maturity assessments and design end-to-end data architectures (Data Lakehouse, Warehouse, ODS, Data Marts) that meet POPIA, financial, and industry standards. Drawing on our SARB Tier-1 and Eskom experience, we ensure your foundation supports both current BI and future AI workloads.

Data Pipelines & ETL/ELT

Automate reliable, high-volume data ingestion and transformation at scale.

Build robust, monitored ETL/ELT pipelines using Azure Data Factory, AWS Glue, Databricks, or custom .NET/PL-SQL solutions. We specialise in complex source integration (SAP, Oracle, SQL Server, billing systems) and real-time streaming — exactly as delivered for SARB’s automated financial forms processing.

Data Warehousing & Lakehouse

Ensure trust, compliance, and high-quality data across the enterprise.

Design and implement Azure Synapse, Fabric, Snowflake, Databricks Lakehouse, or on-prem Oracle/SQL Server warehouses with star schemas, slowly changing dimensions, and advanced partitioning.

Data Governance & Quality

Seamlessly move or modernise legacy data platforms to Azure, AWS, or hybrid.

Implement full data governance frameworks: lineage, quality rules, master/reference data, security, and audit trails. POPIA-compliant by design - proven in high-stakes regulatory environments like the South African Reserve Bank.

Cloud Migration & Modernisation

Seamlessly move or modernise legacy data platforms to Azure, AWS, or hybrid.

End-to-end migration services with zero-downtime strategies, cost optimisation, and performance tuning. We have successfully modernised on-prem BI platforms for utilities and financial institutions.

Real-Time & Streaming Data

Enable instant insights with live data pipelines and event-driven architectures.

Design Kafka, Azure Event Hubs, or Spark Streaming solutions for near real-time analytics - the same capability that delivered daily inflation-index data to SARB.

Why Choose Digital Knowledge - Data Engineering & Platforms

We are practising data and analytics specialists, not generalists. Our Managing Director, Robert Dobson, has personally led major implementations at the South African Reserve Bank, Eskom, Deloitte, Sasol, Barclays and more, including Operational Data Stores, Data Marts and enterprise data warehouses. That experience shapes every data engineering engagement we take on.

We start by understanding the decisions your business needs to make, then design the data engineering foundation to support them: the right architecture, reliable pipelines, clear governance and the performance to scale. Every platform is documented, tested and handed over with knowledge transfer, so your team can run it with confidence. And because we are technology-agnostic, we recommend what fits your environment and budget rather than pushing a single vendor.

Our teams have worked in some of the most demanding environments in the country, where data feeds national statistics, revenue reporting and regulatory submissions. In those settings, accuracy, auditability and security are not optional extras. We bring the same standards to every client, whether you are modernising a legacy warehouse, consolidating several source systems or preparing your data for machine learning and generative AI.

The result is data engineering that does not just move data from A to B. It creates a trusted foundation that your BI, data science and AI initiatives can build on for years to come.