Data platform architecture
A warehouse, a lakehouse or a hybrid on Databricks, Snowflake, BigQuery or Microsoft Fabric, chosen for your data volumes, team skills and running costs.
Data engineering: pipelines, warehouses and lakehouses
We build the data foundation that your analytics and AI depend on: reliable batch and streaming pipelines, well-modelled warehouses and lakehouses, and databases designed for the load they actually carry.
What we do
Scope of work
Batch and streaming pipelines
ELT and ETL with Spark, dbt and Airflow, real-time ingestion with Kafka or Event Hubs, and change data capture from operational databases.
Data modelling
Dimensional models and medallion layers (bronze, silver, gold) that analysts understand and that every report can reuse.
Database design and tuning
Schema design, indexing, partitioning and query optimisation for PostgreSQL, SQL Server and cloud databases, including migrations between engines.
Data quality and governance
Automated tests, data contracts, lineage and catalogues in Unity Catalog or Purview, so issues are caught before they reach a dashboard.
Technologies
Typical technologies
We are not tied to any single vendor: we work on public and private clouds and adapt to your environment, licences and team skills. These are the tools we use most often in this area.
Data platforms
- Databricks
- Snowflake
- BigQuery
- Microsoft Fabric
- ClickHouse
- DuckDB
Processing and orchestration
- Apache Spark
- Apache Flink
- dbt
- Apache Airflow
- Dagster
- Airbyte
Streaming and CDC
- Apache Kafka
- Redpanda
- Debezium
- NATS
Databases
- PostgreSQL
- MySQL
- SQL Server
- Oracle
- MongoDB
- Redis
Table formats and storage
- Apache Iceberg
- Delta Lake
Data quality and governance
- Unity Catalog
- OpenMetadata
- DataHub
- Great Expectations
Related services
Often combined with this service
- SQL
- Python
- R
- pandas
Data Analytics
Analysis of business and operational data that answers concrete questions and supports decisions.
- Power BI
- Looker
- Tableau
- Apache Superset
Visualisation & BI
Dashboards and self-service BI in Power BI, Looker and Tableau built on a consistent data model.
- Python
- R
- scikit-learn
- XGBoost
Data Science & ML
Predictive models and machine learning taken from experiment to production with MLOps.
Let's talk about your project
Tell us where you are today and what you want to achieve. We will suggest a concrete first step, and we can sign an NDA before any technical discussion.