Services / Data Engineering
The pipelines your data layer depends on.
Robust ETL pipelines, data integrations, streaming ingestion and infrastructure management — connecting all your data sources into one clean, reliable foundation that your BI, analytics and AI layers can run on.
Data pipeline architecture
Why data engineering is the unglamorous part that determines everything
The dashboards get the attention. The models get the demos. But the pipelines underneath them determine whether the numbers are trustworthy. A poorly engineered data layer produces reports that drift, alerts that fire on bad data, predictions trained on inconsistent inputs and audit trails that do not hold up when regulators inspect them. We design and build data pipelines that run reliably at production scale — with the monitoring, documentation and error handling that keeps them running after the initial delivery.
What we build
Source integrations
Connect every data source in your stack: iGaming platform databases, payment providers, affiliate systems, CRM tools, bonus engines, third-party data feeds and flat file transfers. We handle authentication, schema mapping and the transformation logic that turns source-specific formats into your governed data model.
ETL pipeline design and delivery
Extract, transform and load pipelines built to handle iGaming data volumes — billions of events, high-frequency updates and irregular batch schedules from different source systems. Pipelines are documented, monitored and designed for the team that will maintain them.
Streaming ingestion
Real-time event pipelines for bet placement, game events, session activity and payment processing. Built using Kafka, Flink or equivalent tooling depending on your stack and latency requirements.
Data quality monitoring
Automated checks at every stage of the pipeline — row counts, null rates, schema drift, referential integrity and business rule validation. Alerts before bad data reaches your dashboards, not after your CRM team runs a campaign on corrupt segments.
Schema management and migrations
As your product evolves, your data model evolves. We manage schema changes safely, with version control, backwards-compatible migrations and documentation that keeps the downstream analytics layer intact.
Infrastructure management and support
Ongoing retainer support covering pipeline monitoring, incident response, performance optimisation and capacity management. Available for teams who want the engineering capability maintained without hiring for it.
Tech stack
We are tool-agnostic and work with whatever your operation already uses. Our strongest hands-on experience includes:
Column-oriented OLAP database for high-performance analytics at iGaming scale
Real-time streaming ingestion for high-frequency event data
Data transformation and modelling with version-controlled SQL
Pipeline orchestration and scheduling
ETL scripting, data transformation, ML pipeline engineering
Relational source system integration
Cloud data warehouse delivery where appropriate
BI tooling integration and deployment
What you get
- Pipelines that run reliably and are documented for the team that maintains them
- Full source integration from every system in your stack
- Data quality monitoring built in at every stage
- Knowledge transfer and ongoing retainer support available
Reliable data is the one thing you cannot compromise on.
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