Mon – Fri: 10:00 – 18:30

Service · Data Engineering

Software
that unifies complex data ecosystems.

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

A trusted partner

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.

Data Engineering

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.

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Commodity contracts supported through trading platforms we’ve built

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Funding allocation managed annually on platforms we’ve delivered

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Pupils tracked across thousands of UK-wide schools

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Annual sales supported through enterprise knowledge platforms

End-to-end delivery

Supporting you at every stage of your digital transformation.

01

Legacy Modernisation

Upgrading, re-platforming or replacing systems that no longer serve the business — without disrupting the people who depend on them.

02

Product Development

Designing and building user-focused products and new digital services, integrated cleanly with the systems you already run.

03

Team Augmentation

Extending your in-house engineering and QA capacity with senior specialists who plug into your roadmap and ship at pace.

How we work

Delivering large-scale data engineering projects to organisations across industries

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

01

Data Storage

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

02

Data Integration

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

03

Data Transformation

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

Technologies

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.

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Industries

Helping organisations across industries to become data-driven

From manufacturing and construction, to agriculture and public transport.

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 Xister buys 100% into that. They always try to meet our requirements, no matter how challenging.