
ETL/ELT Development & Automation
Design automated workflows to extract, transform and load data for operational and analytical use.
Connect data sources, automate data movement and improve data quality with reliable pipeline and ETL solutions from NCS London.
Overview
Data scattered across systems can delay reporting, create inconsistencies and make it harder for teams to access reliable information.
NCS London helps you design, build and improve data pipelines that connect sources, automate data movement and prepare data for analytics and reporting.

Challenges
Identify the data bottlenecks that slow reporting, limit visibility and reduce confidence in business decisions.
Your data pipelines should deliver trusted information to the right destination, at the right time, without unnecessary operational intervention.
What We Offer

Design automated workflows to extract, transform and load data for operational and analytical use.

Build and orchestrate data workflows using Azure Data Factory where it fits your architecture and requirements.

Develop and maintain SSIS packages and ETL workflows to support structured, repeatable data processing.

Improve existing data workflows to address maintenance challenges, performance limitations and changing requirements.

Monitor pipeline execution, investigate failures and improve the reliability of scheduled data workflows.

Apply transformation and validation rules to improve data consistency before it reaches downstream systems.
Platform Selection
The right technology depends on your existing systems, data workflows and target architecture. NCS London can help assess the options and select an approach suited to your requirements.
Develop and maintain ETL workflows within Microsoft SQL Server-oriented environments.
Suitable for
Existing SSIS packages, SQL Server data workflows and established ETL processes.
Orchestrate data movement and transformation across supported data sources and services.
Suitable for
Azure-oriented data integration, scheduled pipelines and hybrid data workflows.
Not sure which approach fits? We can assess your current environment and help identify a suitable pipeline strategy.
Talk to Our Data Engineering TeamOur Approach
From understanding your data sources to validating pipeline performance, we follow a structured process designed around your business needs.
The result: Reliable, well-documented data pipelines that deliver accurate data to the people and systems that depend on it.
Assess Data Sources & Requirements
Review source systems, data formats, dependencies and reporting needs.
Design the Pipeline
Define the architecture, transformation rules, schedules and error-handling requirements.
Build & Validate
Develop workflows and test data quality, processing logic and downstream compatibility.
Deploy & Improve
Deploy agreed pipelines, monitor execution and address issues as requirements evolve.
Business Outcomes
Timelier Reporting
Automate data movement to help make information available when business teams need it.
More Trusted Data
Apply consistent transformation and validation rules to improve confidence in reporting data.
Less Manual Work
Reduce repetitive data handling through automated, repeatable workflows.
Better Business Visibility
Connect data across systems to support analysis, reporting and informed decisions.
Why NCS London
Get a data pipeline approach aligned with your technology environment, data quality requirements and business objectives.
Support both established SQL Server integration environments and Azure-based data orchestration requirements.
Address specific issues such as failed jobs, inconsistent transformations, slow data loads and fragmented integrations.
Select integration patterns based on existing workloads, dependencies and target-platform requirements.
Incorporate validation, reconciliation and error handling into pipeline design.
Evaluate existing ETL investments before recommending changes, helping you prioritise improvements based on business value and technical feasibility.
We help monitor, optimise and extend your pipelines after go-live, so they keep pace with new data sources, growing volumes and changing reporting needs.
Data pipeline and ETL services help move data between systems, transform it into the required format and prepare it for applications, reporting and analytics. ETL stands for Extract, Transform and Load.
ETL transforms data before loading it into the target system. ELT loads data first and transforms it within the target platform. The right approach depends on your architecture, data volume and processing requirements.
Yes, pipeline solutions can connect supported databases, applications, files and cloud services, subject to source compatibility and the agreed project scope.
Data quality can be supported through validation rules, transformation checks, duplicate detection, error handling and reconciliation, depending on the requirements.
SSIS is commonly used to build and run ETL packages, particularly in SQL Server-oriented environments. Azure Data Factory provides data integration and orchestration capabilities across supported data sources and services. The best choice depends on your existing systems and target architecture.
Ongoing support can include pipeline monitoring, failure investigation, troubleshooting and performance improvements, depending on the agreed service scope.
Contact us
Connect your data sources, improve pipeline reliability and make trusted information more accessible. NCS London can help you identify the right approach for your data integration and ETL needs.
Prefer to talk? Call us on 020 3326 7268