What is data engineering?

Businesses produce a lot of data. Everything from customer feedback to sales performance and stock price influences how a company operates. But understanding what stories the data tells isn’t always easy or intuitive, which is why many businesses rely on data engineering.

Data engineering is the process of designing and building systems that let people collect and analyze raw data from multiple sources and formats. These systems empower people to find practical applications of the data, which businesses can use to thrive.

Companies of all sizes have huge amounts of disparate data to comb through to answer critical business questions. Data engineering is designed to support the process, making it possible for consumers of data, such as analysts, data scientists and executives, to reliably, quickly and securely inspect all of the data available.

Core elements of data engineering services

Data Architecture

Design of modern data infrastructure for data-driven enterprises. We take into account the frameworks that the organization uses.

Data Architecture

Design of modern data infrastructure for data-driven enterprises. We take into account the frameworks that the organization uses.

Key benefits

We share our extensive experience with clients, covering all aspects of data collection and use. We help to develop and optimise processes and policies, ensuring standardisation of the full data life cycle, including:

Automated data pipelines

We build an environment of tools and processes that automate the movement and transformation of data between sources and the data warehouse.

Automated data pipelines

We build an environment of tools and processes that automate the movement and transformation of data between sources and the data warehouse.