Building Data Solutions
We build scalable and secure, modern data platforms, using technologies like Azure Synapse, Databricks, Snowflake, and AWS, to create storage environments that centralise access, improve governance and optimise performance.
Rapid engineering of data solutions, delivering value in just 8-weeks
We engineer data solutions that unify, govern, and optimise your data, creating a trusted foundation for analytics, predictive intelligence, and AI.
Get in touch with our team to see how we can help you get started with our Data Engineering service.
Get in touch with our team to see how we can help you get started with our Data Engineering service.
Data engineering is the foundation of a modern data strategy. It brings together systems, integrates sources, and turns raw data into trusted, well-governed assets ready for reporting and analytics. We build and optimise pipelines, manage migrations, and apply proven modelling techniques, all accelerated by our DataOps framework, Seriös ONE, to deliver high quality data solutions - adding value in just 8-weeks.
When data is structured, consistent, compliant, and accessible, your business can move faster, reduce risk, and make confident decisions.
Our data engineers build strong foundations that enable accurate reporting, advanced analytics, and AI. With Seriös ONE, our DataOps framework, we accelerate the delivery of high-quality, governed data solutions, without compromising on security or quality, and your data team stays in control.
Our end-to-end data engineering services build reliable, scalable, and secure data solutions, creating the foundations your organisation needs to turn data into a strategic asset.
We build scalable and secure, modern data platforms, using technologies like Azure Synapse, Databricks, Snowflake, and AWS, to create storage environments that centralise access, improve governance and optimise performance.
Our data engineers build ETL and ELT pipelines that automate and orchestrate the movement of data across your ecosystem. From data ingestion to integration, every
pipeline is optimised for resilience, scalability, and continuous delivery.
We transform raw data into structured, governed formats using industry-standard modelling techniques like Medallion Architecture, Data Vault, and Kimball to ensure integrity from source to insight, making your data ready for analytics and AI.
We modernise and optimise data platforms for speed, cost efficiency, and future readiness. Whether refactoring legacy pipelines or migrating workloads to Azure, AWS, or Google Cloud, we ensure your infrastructure remains secure, compliant, and adaptable, supported by infrastructure as code and automated monitoring for continuous improvement.
Any organisation that wants to make data-led decisions but struggles with fragmented systems, inconsistent quality, or slow reporting can benefit from data engineering.
We connect disparate sources, automate ETL pipelines, and transform and model your data to make it accurate, trusted, and accessible, so your teams can focus on insights, not infrastructure.
With a strong, well-structured data foundation, your business can move faster, reduce risk, and identify new opportunities. Confident decisions become easier, and advanced analytics and AI become achievable.
We deliver data solutions built around our customers needs and business objectives, to ensure we deliver measurable outcomes.
We deliver data solutions by combining innovation, and our people with proven methodologies, through three engagement types designed to meet your organisation’s needs.
Fully bespoke data solutions customised to your needs.
Get access to our skills and expertise on-demand.
Seriös ONE unites best-in-class DataOps automation with our skills and expertise.
We’re tech-agnostic and always recommend the tools that are right for your business. However, we specialise in a core set of technologies we know deliver results fast.
Got questions? We’ve got answers...
Data engineering provides the structure and automation needed to keep data accurate, connected, and accessible. With cleaner data pipelines and structure architecture, your analytics become faster, more reliable, and easier to scale.
A data warehouse stores structured, organised information ready for reporting and analysis.
A data platform, on the other hand, is a complete environment that connects storage, pipelines, governance, and processing, so your organisation can manage all types of data at scale. It’s a modern, cloud-based approach designed to cope with future demands like advanced analytics and AI.
Data engineering eliminates data silos, reduces manual processing, and improves data quality. It creates a unified, high-performing environment that supports faster insights, stronger governance, and data-driven decision-making.
We’re outcome-focused, tech-agnostic, and committed to doing things the right way. Our data solutions are governed, built to scale, and designed to deliver long-term value.. With our DataOps framework, Seriös ONE, we accelerate delivery without compromising on quality or compliance.
Absolutely. We often work alongside in-house teams to accelerate delivery, fill capability gaps, or provide specialist expertise.
We tailor every engagement to your needs, so costs will depend on scope, complexity, and the delivery model you choose. We focus on delivering value, not just services.
Yes, many of our customers begin with a defined engagement and scale as their needs evolve. We provide bespoke on-off projects and longterm partnerships that support this approach.
Our data engineering expertise delivers high-quality data solutions that address data challenges or build a future-proof data platform.
Get in touch with our team to see how we can help you get started with our Data Engineering service.