01
Cloud Data Platforms
Architecture and delivery of lakehouse, warehouse and streaming platforms on Azure, AWS and Databricks.
Services
AIVION Service
Data Engineering
Modern data foundations for AI-ready enterprises
Practice
Data Engineering
01 — Overview
Why this matters
Most AI initiatives fail not because of the model, but because of the data underneath. AIVION's Data Engineering practice helps organisations design, build and modernise the cloud data platforms that power analytics, machine learning and operational decision-making at scale. From greenfield lakehouse architectures on Databricks and Microsoft Fabric to migrations off legacy warehouses, we deliver production-grade pipelines, governance and observability — so your teams can trust every number, every model and every decision.
02 — Capabilities
What we deliver
02
Data Pipelines & Ingestion
Resilient batch and real-time pipelines using Spark, Delta Lake, Kafka and dbt.
03
Data Modelling
Dimensional, vault and medallion models that balance flexibility with performance.
04
Data Governance & Quality
Catalogues, lineage, contracts and automated quality testing built into every pipeline.
05
DataOps & Observability
CI/CD, infrastructure-as-code, monitoring and SLOs for data products.
06
Legacy Migrations
Pragmatic migrations from on-premise warehouses, SAS and Hadoop into modern cloud platforms.
03 — Approach
How we engage
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01
Discover
Audit current data estate, business priorities and target operating model.
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02
Design
Define target architecture, governance model and a phased delivery roadmap.
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03
Build
Deliver platform, pipelines and data products in agile increments.
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04
Operate
Hand over with runbooks, SRE practices and an enablement plan for your team.
04 — Outcomes
Measurable impact
- A single, trusted data foundation for analytics and AI
- Faster time-to-insight through reusable, well-modelled data products
- Lower total cost of ownership versus legacy warehouses
- Built-in governance, security and regulatory compliance
- Engineering teams upskilled on modern cloud-native tooling
Ready when you are
Let's design your Data Engineering roadmap.
A 30-minute working session with a senior practitioner — no pitch, just a clear view of feasibility, value and the right next step.