Data Engineering as a Service for mid-sized businesses
We develop, integrate and support your data infrastructure.
Discuss your projectYour requirements
Data Engineering as a Service combines dependable data pipelines with ongoing maintenance and development, aligned with your systems and business teams.
You need ongoing engineering capacity for integration, new applications or the continued development of your data platform.
What you receive
A supported data infrastructure with documented interfaces, business quality rules and a prioritised development scope.
Our scope of work
- Integrate APIs, databases, files and events
- Develop data models and ETL/ELT pipelines
- Implement data quality, monitoring and error handling
- Support and develop existing platforms
Our approach
- 01
Understand sources
Together, we define the business meaning, freshness and ownership of source data.
- 02
Build connections
We implement ingestion and transformation and check data against agreed rules.
- 03
Support real use
Documentation, monitoring and responsibilities make the data flow operable.
Engagement scope
Service scope, technical responsibility and collaboration are agreed individually. Architecture and operations are designed around your existing systems and requirements.
Effort and timing depend on data access, quality, interfaces and operational requirements. We clarify these points before a specific engagement begins.
Common questions
What does Data Engineering as a Service mean?
ainubes takes responsibility for agreed tasks in building, integrating and developing your data infrastructure. The engagement combines engineering capacity with defined outcomes and responsibilities.
Can we keep our existing ERP and CRM?
Yes. We first assess existing interfaces and access options. Limitations are identified before implementation.
How do you handle incorrect data?
Quality rules are agreed with the business. Flagged records, failed transfers and appropriate recovery are part of the plan.