Data & AI services

Data Engineering & DataOps

Build, automate, and optimise data pipelines to achieve real-time and high-quality data availability for analytics and AI.

 

Talk to an expert

Data Engineers optimising data pipelines

What is Data Engineering & DataOps?

Data Engineering & DataOps ensure that data pipelines, ETL/ELT processes (Extract, Transform, and Load / Extract, Load, and Transform), and automation work efficiently, enabling real-time, high-quality data availability. This area of expertise is divided into:

  • Data Engineering: developing scalable data ingestion, ETL, and processing pipelines.
  • DataOps: automating and orchestrating workflows for agile and reliable data delivery.
  • Data Management: storage optimisation, data quality, security, and data privacy.

Data Engineering & DataOps services can help companies struggling with data integration and processing, with complex ETL/ELT workflows, or simply looking for real-time data analytics.

Data Engineering & DataOps with Alter Solutions

Take advantage of our Data Engineering & DataOps services:
Group 573-3 Group 573-2
Data pipeline development

We transform raw data into actionable insights. Our expert team designs and implements sophisticated ETL/ELT processes, and builds scalable, sustainable pipelines that automate data workflows, ensure data quality, and reduce manual intervention.

Group 643-1 Group 643
Real-time data processing

We implement systems that process and analyse data in real-time, enabling rapid decision-making and response to market trends. Our solutions can handle high-speed data streams while maintaining data accuracy and system performance.

Group 134-1 Group 134
Streaming & Batch Processing

By leveraging hybrid architectures, we can help organisations maximise data processing efficiency with solutions that handle both real-time streams (for time-sensitive needs) and batch operations (for large-scale analytics). We design systems that automatically route workloads to the most suitable processing method, ensuring optimal performance while maintaining data consistency across the entire data ecosystem.

Group 586-1 Group 586
Big Data & Cloud Data Platforms

We architect and deploy modern data platforms that combine the flexibility of cloud services with the processing power needed for Big Data workloads. Our expertise spans across major cloud providers and technologies, allowing us to build cost-effective, scalable solutions that grow with clients’ needs.

Group 581-3 Group 581-2
DataOps & CI/CD for data

We bring software engineering best practices to data operations by implementing automated testing, version control, and Continuous Integration/Continuous Delivery (CI/CD) pipelines specifically designed for data workflows. Our approach accelerates development cycles, improves data quality, and reduces errors through automation.

The benefits of Data Engineering & DataOps

Improved data quality and accessibility

Well-structured pipelines deliver clean, consistent, and accurate data, empowering businesses with high-quality information to make informed decisions and enhance trust in their analytics and reporting.

Higher speed and efficiency

Automated, scalable and optimised data pipelines enable real-time processing and faster insights, helping businesses respond quickly to opportunities, market changes, and operational needs.

DataOps experts working on data pipelines
Data Protection Officer ensuring compliance with regulatory requirements
Security and compliance
Data Engineering ensures that sensitive information is protected and compliant with regulatory requirements. It builds client trust through consistent implementation of data security and compliance standards.
Cost savings
Streamlined workflows, optimised processing, and reduced redundancy significantly lower infrastructure and operational costs, maximising Return on Investment (ROI) for businesses managing large-scale and complex data operations.

Our technical expertise

Data Engineering & DataOps technical expertise

Getting started with Data Engineering & DataOps

Alter Solutions can help you implement a successful Data Engineering & DataOps strategy. Here’s how:
#1
Discovery and assessment

We analyse your current data landscape, identify all data sources, understand existing workflows, and pinpoint bottlenecks.

#2
Design and proposal

We deliver a technical roadmap that includes data pipeline architectures, automation strategies, and other recommendations aligned with your business objectives and compliance requirements.

#3
Implementation

The design comes to life while our team develops robust ETL/ELT pipelines, implements cloud data platforms, and establishes automated workflows.

Data experts working on ETL/ELT pipelines
#4
Testing and optimisation

We rigorously test all components to ensure reliability and performance. We fine-tune system parameters, optimise performance, and implement monitoring solutions.

#5
Continuous improvement

The final phase establishes automated testing frameworks, CI/CD pipelines for data workflows, and monitoring systems that enable proactive maintenance.

Our delivery models

Consulting & Audit
Whether you need security audits, architecture reviews, or digital transformation guidance, our experts work closely with your organisation to evaluate systems, processes, and technologies, delivering actionable insights and strategic recommendations. We provide detailed assessments, roadmaps, and best practices tailored to your business needs.
Team scaling
Reinforce your existing teams with our experienced data experts. This model allows you to quickly adjust team size based on project demands. Our experts work as an extension of your team, following your processes and methodologies while bringing fresh perspectives and specialised expertise. It’s the perfect approach for organisations needing to temporarily boost their development, testing, or operations capabilities.
Professional Services
End-to-end project delivery with defined scope, timelines, and outcomes. We take full responsibility for the project success, from initial planning through implementation and deployment. This model provides predictable costs and clear deliverables, making it ideal for organisations seeking turnkey solutions.
Managed Services
Your team can focus on core business activities while we handle the technical complexities of data engineering and operations. Our managed services include 24/7 support, continuous monitoring, proactive maintenance, automated incident response, and regular system optimisation.
On-site or Nearshore
We can adapt our delivery model to your specific needs. Our on-site experts integrate directly with your teams to implement and optimise data solutions. For organisations seeking cost-effective alternatives without compromising quality, our Nearshore model provides experienced teams in compatible time zones, ensuring effective collaboration and communication.
Data Engineer working on a Nearshore centre for a client

Why Alter Solutions?

Group 646-3 Group 646-2
From Data Engineering to business-ready data

We don’t just build pipelines – we ensure data is accurate, governed, and ready for advanced analytics and AI applications. Our solutions ensure data lineage is tracked, quality is maintained, and business priorities are preserved throughout the entire data lifecycle.

Group 645-1 Group 645
Automation and data quality at the core

Data quality is built into every solution we deliver. We leverage AI-powered observability tools to continuously monitor data quality and pipeline performance, detecting anomalies before they impact your business. Our automated validation frameworks ensure data consistency and reliability in every data workflow.

Group 864-1 Group 864
Expertise in DataOps, MLOps and Cloud Engineering

We bring together best practices from DataOps, MLOps and Cloud Engineering to create resilient, scalable architectures. From designing high-performance solutions that optimise costs and meet business requirements, to implementing CI/CD pipelines for data workflows, our experts ensure rapid, reliable delivery of data products.

Group 576 Group 576-1
Integration with existing systems as a priority

We understand that data solutions don’t exist in isolation. That’s why we prioritise seamless integration with your existing IT and business ecosystem. We design data workflows that respect your security protocols, comply with industry regulations, and align with your business processes. 

Group 640-1 Group 640-2
Strategic partnerships

Our certified partnerships with leading Cloud & Big Data providers give our clients access to the best solutions in the market. We maintain strong relationships with Google, Microsoft, Talend, Elastic, Kestra, and Snowflake. These partnerships guarantee expert implementation support, deep product knowledge and direct access to other resources.

Other Data & AI services

We operate across the entire data processing chain with other services like:

Our Articles

Our Case Studies

Contact us today

Fill in our contact form and our dedicated Data & AI team will get back to you within 24 hours.

Cybersecurity account manager working on project proposal at the computer