Data Engineering

Delivering scalable and reliable data pipelines to extract value, generate analytics and enable effective decision making.

O2National Institute for Health ResearchScaniaPersmmonADMBellwayBritish GypsumPolice and Crime CommissionerSMC

Partnering with leading organisations to consolidate, process and aggregate data for improved analytics and decision making.

From aggregating and consolidating large-scale product datasets across international sites into a centralised location for a global industrial manufacturer, to integrating large amounts of chemical product data from multiple disparate systems for a global material and life sciences organisation.

We work in collaboration with organisations to deliver large-scale complex data engineering projects that establish data foundations, unlock value and provide the insights required for effective decision making.

Delivering complex data transformation programmes covering data storage, integration and transformation to develop intelligent reporting and leverage machine learning capabilities.

Data is at the core of many decisions that organisations make. Good data helps organisations optimise production processes, improve product quality, enhance supply chain management and, ultimately, drive better decision making. With rich sources of aggregated data enabling the ability to gain better insights across operations — from customers and production processes to finance and logistics.

We work with leading organisations to help them become data-driven, from identifying data sources, mapping integrations and selecting data storage solutions, to data integration, transformation and visualisation.

Our approach helps organisations to determine the optimal architecture to store and organise data, assessing current data volumes, variety and velocity to identify the appropriate infrastructure needed to meet processing and storage needs — from data lakes, to data warehouses and data lakehouses, implementing tools such as Snowflake, Databricks and Apache Spark.

Once data is aggregated, we help to implement the processes needed to govern data use and provide oversight, establishing data ingestion protocols that map data sources and cleanse, validate and integrate data through ETL or ELT pipelines.

We’ll work with you to define the insights you need to guide decisions around improving quality, efficiency and throughput, in order to align visualisations to critical business objectives. Connecting transformed datasets to analytics and visualisation tools such as PowerBI or Tableau to create interactive dashboards to make key, real-time insights accessible for stakeholders across your organisation.

£3.1 billion

Commodity contracts and services supported for one of the world's largest agricultural organisations

£317 million

Funding allocation managed each year for the nation’s largest funder of health and care research

2.5 million

Pupils tracked across 12,000 UK wide schools

£170 million

Annual sales supported through a knowledge management platform for a global manufacturer

George Thomson, Story Homes

They are a key business partner because of their high-quality work and its impact on our business. Our organisation believes that quality is key, and we’ve found that Audacia buys 100% into that. They always try to meet our requirements, no matter how challenging.

- George Thomson, Story Homes

Delivering large-scale data engineering projects to organisations across industries

Building powerful data platforms that provide the foundations for effective analytics and decision making.

Data Storage

Identifying optimal architectures to store and organise data based on volumes, variety and velocity to meet processing and storage needs.

Data Integration

Extracting data from various source systems to cleanse, validate, combine, reshape and process as needed to create unified datasets for analysis.

Data Transformation

Shaping, conforming, aggregating and contextualising raw data to make data more accessible and ingestible by downstream systems.

Using industry standard tools and technologies

From Snowflake and Databricks, to Microsoft PowerBI and Fabric to deliver end-to-end large-scale and complex data engineering projects.

Helping organisations across industries to become data-driven

From manufacturing and construction, to agriculture and public transport.

AESSEAL - Knowledge Management
AESSEAL - Knowledge Management

AESSEAL is the fourth largest mechanical seal manufacturer in the world, hitting a record of £170 million turnover last year, with offices in 104 countries, with their focus on customer service and quality seeing them grow year on year since they were established in 1979.


Northern Trains is a train operating company that provides services across the North of England. With over 500 calling stations, the company connects major cities like Manchester, Leeds and Newcastle. The company plays a crucial role in facilitating transportation and commuting for thousands of passengers every day.

ADM Agriculture
ADM Agriculture

ADM Agriculture is a UK subsidiary of ADM, one of the world’s largest agricultural processors and food ingredient providers, with more than 31,000 employees, serving customers in 170+ countries.

2M Group of Companies
2M Group of Companies

The 2M Group of Companies focuses on delivering high-quality chemistry-based solutions that make lives healthier today and better tomorrow.

Building a platform to support over £170m annual sales
About this video

AESSEAL is the fourth largest mechanical seal manufacturer in the world, hitting a record of £170 million turnover last year, with offices in 104 countries, with their focus on customer service and quality seeing them grow year on year since they were established in 1979.

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As a first step in the process, we offer a free consultation around your current setup. We'll discuss your challenges and goals and see whether we could be a good fit for delivery.

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Sarah Thorp The National Institute of Health Research (NIHR)

From start to finish the working relationship between Audacia’s team and ours was productive from the iterative development approach, meaning we worked in shorter time frames but increased levels of communication to ensure all updates were reviewed quicker. Audacia’s end platform delivered on all aspects.

Sarah Thorp, The National Institute of Health Research (NIHR)