Pipeline Automation and CI/CD
Automated build, test and deployment for data pipelines.
DataOps Services
DataOps Services
Trusted across 20+ countries by Fortune 500 companies and growth-stage brands
We bring automation, testing and reliability to your data operations, so pipelines run predictably, changes ship safely, and issues are caught before they reach your reports and models. Over a decade of experience, 250+ digital solutions delivered.
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What is DataOps?
DataOps is the practice of applying automation, testing and monitoring to data pipelines and operations, in the same way DevOps improved software delivery. It makes data delivery faster, more reliable and less manual. Noseberry sets up DataOps so your data pipelines have CI/CD, automated testing, observability and clear alerting, which means fewer breakages and faster, safer changes.
Key takeaways
- DataOps applies DevOps principles of automation and testing to data pipelines.
- It makes data delivery faster, more reliable and less manual.
- Core elements are CI/CD for data, automated testing, monitoring and observability.
- It reduces pipeline failures and the firefighting they cause.
2M+Lives touched
15+Fortune 500 clients
20+Countries served
250+Digital solutions delivered
What we do
Our DataOps services
Automated Data Testing
Tests that catch bad data before it reaches reports and models.
Data Observability
Monitoring of freshness, volume, schema and quality.
Orchestration
Reliable scheduling and dependency management.
Incident Alerting and Response
Alerts and runbooks so issues are caught and fixed fast.
Environment and Version Management
Safe, repeatable changes across environments.
Where it delivers value
Where DataOps delivers value
Fewer pipeline breakages and less firefighting
Faster, safer changes to data pipelines
Early detection of data issues before they spread
Reliable data for dashboards and AI models
Less manual effort in data operations
How we work
Our five-phase process
We assess your current data operations, then introduce automation and observability incrementally, so reliability improves without disruption.
1
Discovery and Audit
We assess your current data operations and pain points.
2
Strategy and Roadmap
We plan the automation and observability to introduce.
3
Rapid Proof of Concept
We add CI/CD and tests to a priority pipeline.
4
Build and Integrate
We roll out automation and monitoring incrementally.
5
Deploy and Optimize
We tune reliability and reduce manual effort.
Technology we use
CI/CD & orchestration
- dbt
- Apache Airflow
- Git-based workflows
Testing & observability
- Great Expectations
- Monitoring & alerting tools
Platforms
- Snowflake
- Databricks
Cloud & ops
- AWS
- Azure
- Google Cloud
- Docker
- Kubernetes
Security and compliance
Secure, auditable operations
DataOps is built with access controls, audit trails and secure pipelines, aligned to GDPR, HIPAA and SOC 2, on AWS, Azure and Google Cloud.
GDPRHIPAASOC 2
Real success storiesFinTech · Digital Insurer PropTech · Real-estate marketplace E-Commerce · Retail leader
Outcomes we have driven
Challenge
Frequent pipeline failures delayed fraud scoring.
Solution
CI/CD, automated data tests and observability across pipelines.
Impact
Reliable data behind 93% of fraud caught pre-payout.
Challenge
Risky, manual changes broke reporting.
Solution
Git-based workflows and environment management for safe changes.
Impact
40% faster, more reliable reporting.
Challenge
Bad data reached dashboards before anyone noticed.
Solution
Data testing and alerting catching issues early.
Impact
+28% conversion from trustworthy, timely data.
Sector-anonymised outcomes shown until named clients are approved.
Why Noseberry
Why choose Noseberry for DataOps
Specialist
AI, Cloud and Data is our core, no generalist dilution.
Reliability-focused
Automation and observability that cut breakages.
Incremental
We improve operations without disrupting delivery.
Proven at scale
250+ solutions delivered across 20+ countries.
DataOps, answered.
DataOps applies DevOps-style automation, testing and monitoring to data pipelines, making data delivery faster, more reliable and less manual.
DevOps improves software delivery. DataOps applies the same principles to data pipelines and operations, with a focus on data quality and reliability.
If your pipelines break often, changes are risky, or data issues reach reports before you catch them, DataOps will materially help.
CI/CD for data, automated data testing, observability, orchestration, and incident alerting.
Yes. We introduce automation and observability incrementally into your current setup, without a rebuild.
Tired of pipeline firefighting?
Book your free 30-minute strategy session and we will review your data operations.
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