Our services in data platforms and engineering
Data pipeline engineering
Reliable, scalable pipelines move and transform data across your landscape using modern tools like Airbyte, dbt, Apache Airflow, and Prefect. We design for resilience, observability, and operational reality.
Cloud data platforms
From AWS Redshift and Azure Synapse to Google BigQuery and Databricks, we design cloud data platforms that align with your workloads, team expertise, and budget constraints while delivering architecture that scales without unexpected costs.
Data warehousing and lakes
Structured and unstructured data unite in coherent architectures through medallion patterns on Snowflake, BigQuery, and cloud-native storage, providing analysts and engineers with foundations they can trust for critical business insights.
BI and data visualisation
Dashboards should drive decisions, not just display numbers. We build reporting layers in Power BI, Metabase, and custom solutions that connect to your data platform and focus on the insights your business needs to make strategic decisions.
Customer data platforms
Complete customer understanding starts with connecting the right data sources. We implement and configure CDP and DMP solutions that unify behavioural, transactional, and profile data, enabling personalisation and marketing activation at scale.
Digital experience analytics
Understanding visitor behaviour, drop-off points, and conversion drivers requires sophisticated analysis. Using Contentsquare and behavioural analytics tools, we connect experience data to your wider platform for insights that extend beyond basic page views.
Our approach to data platforms
We design data foundations that grow with your organisation instead of building isolated pipelines. This means understanding your current landscape, identifying where data gets stuck or lost, and building architecture that solves genuine business problems. From assessment through production, we work alongside your teams to transform disconnected data silos into connected, actionable intelligence.
From data silos to connected intelligence
Understanding your current data landscape shapes realistic architecture roadmaps that address actual friction points rather than theoretical ideals. This assessment creates a clear path from fragmentation to unified platforms your teams can rely on for critical business decisions.
Cloud-native by default
We select platforms based on your workloads, team capabilities, and operational constraints, not vendor partnerships. AWS, Azure, GCP, Databricks: we work across all platforms and recommend what fits your specific requirements. Multi-cloud where it delivers genuine value, opinionated defaults where they reduce complexity.
AI-ready foundations
AI initiatives succeed only when built on reliable data foundations. We embed data quality, lineage tracking, and governance into platforms from initial design. This approach means your data teams spend less time on validation while your AI and ML initiatives start from foundations that stakeholders can trust.
Our expert insights on data platforms and engineering
AI Pioneer Agency of the Year
We were named AI Pioneer Agency of the Year — and we're just getting started. At iO, we help organisations move beyond AI experimentation and turn it into real, measurable business impact. Ready to make that shift? Let's talk.
