Our experienced Data Engineers create a reliable foundation for reporting, analytics, machine learning and AI, to help organisations unlock the full commercial and operational value of their data.
Benefits:
• Faster insights – Reduce delays between data capture and decision making.
• Less manual work – Automation replaces repetitive tasks and human error.
• Better data quality – More accurate, consistent, and trustworthy information.
• Fewer compliance risks – Centralised governance keeps policies and regulations in check.
• Less duplication of effort – Single, shared source of truth avoids rework.
• Advanced capabilities – Trusted data fuels AI/ML models and predictive analytics.
• Scale as needed – Easily manage increased data volumes, new systems and complexity.
Your ability to compete, adapt, and innovate hinges on how well your data is structured, managed, and trusted. AI generated outputs are only as good as the data it's trained on.
At Parallel42, we align data architecture, governance, and integration to support every stage of the data lifecycle. By designing smart frameworks for how data is stored, accessed, and used, we help businesses unlock real value, reduce risk, and operate with greater clarity and speed.
A modern Data Platform is cloud based, modular, secure and flexible. It enables rapid deployment, seamless scaling, and long-term adaptability, without requiring IT teams to manage infrastructure.
• Ingestion – Collect data automatically from multiple sources.
• Integration – Combine, clean, and standardise data.
• Storage, Processing & Modelling – Transform data for analysis and reporting.
• Governance – Centrally manage rules, definitions, quality, and compliance.
• Sharing – Securely deliver curated data to users and systems.
• Machine Learning & AI – Train models using quality, complete platform data.
Each component is optimised for its role. Your technology stack can evolve alongside your business needs, and operate at the speed your stakeholders and analysts require.
Our vastly experienced team have delivered cost effective, fit for purpose solutions to highly complex data engineering challenges in a variety of sectors and use cases.
Agile Approach
We deliver incremental phases with regular feedback reviews, ensuring project efficiency and success.
Fit for Purpose
Our experience ensures we deliver stable, scalable, secure, performant solutions. We’ll listen to your requirements, prioritise and deliver accordingly.
Rapid Delivery
We leverage our proven frameworks to automate many manual development and testing processes, delivering tangible results as early as possible.
We’re here to empower your people, not replace them. Whether you’re navigating projects and deadlines, tackling a tricky data challenge, or simply need an outside perspective, we slot in seamlessly alongside your people to help you deliver with confidence.
• Add bandwidth during peak periods or key initiatives
• Get expert input on architecture, pipelines, or data models
• Reduce pressure on internal teams with project-based support
• Upskill your team with 1:1 training or handover sessions
Working together, we turn goals into results.
We specialise in modern data engineering, using proven tools and cloud platforms.
We develop and support:
• Microsoft Azure (Data Factory, Azure SQL, Synapse Analytics & Fabric)
• Snowflake Data Cloud
• Databricks
• SQL Server and T-SQL
• Python for API connectivity
• We deploy on Azure, Amazon Web Services (AWS) and Google Cloud (GCP)
• Power BI and Tableau for downstream reporting and visualisation
• Flat files (e.g. .csv, Excel), third-party data connectors, and more
We tailor our solution to suit your needs, whether you're on premise, hybrid or cloud-native.
