Data Engineering focused on structured and actionable statistics

Data engineering is a complex yet vital role in modern software development which requires an understanding of different tools, languages and methodologies for accessing, normalizing, and logically storing data.

Data enters the pipeline from many sources and needs to be normalised and fed intelligently into a data lake designed by experienced engineers in order for organisations to be able to analyse and utilise that data in business applications.

We understand the importance and complexity of data engineering and deliver comprehensive solutions to clients which allow them to control and analyse their data more efficiently.

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A modern approach to data engineering

All of our projects start with a discovery workshop with the senior product designer and senior technical director for the project.

During this workshop we work with client teams to understand the data infrastructure required to deliver meaningful metrics. We establish a roadmap and milestones for the project which include building a data pipeline, data lakes, and data warehouses.

We pinpoint what data is vital to the company and how it should be structured in order to devise logical solutions that allow organisations to derive maximum value from the data being collected and processed.

Well structured and well defined data engineering processes result in more efficient applications, more robust data warehouses and ultimately more valuable data.

By engineering data pipelines according to performance and scalability data accessibility is significantly increased.

Our Data Engineers work side by side with client teams to help them understand the architecture of the data infrastructure so that they can manage, maintain and grow the data warehouse after the product launches.

By harnessing the power of cloud technologies we provide our clients with the data they need to access in real-time empowering organisations to make informed decisions with confidence.

GraphQL

We use the GraphQL query language for APIs to aggregate specific data from multiple sources.
Read more about efficient data architecture with GraphQL

Python

Python is the preferred language for data manipulation and data engineering and we are experts at writing the code that is the backbone of data pipelines.

Postgres

Postgres is a powerful, open-source, object-relational database known for its performance, robustness and reliability that is an excellent solution when properly implemented.

Redis

Redis is a highly performant non-relational database which can significantly increase the efficiency of your applications with the correct implementation.

Solve your data engineering issues with NearForm

Data
Infrastructure

  • Management

  • Architecture

  • Security

  • Design

  • Automation

  • Strategy

Data
Pipeline

  • Integrations

  • Auditing

  • Big Data

  • ETL/ELT Jobs

  • Normalisation

  • Node.js

Data
Consulting

  • Performance

  • Consistency

  • Platforms

  • Compliance

  • Governance

  • Migration

NearForm’s enterprise software development approach

Our Front-end development engineers and Node.js experts can guide you with best practices for building maintainable, scalable, high-performance modern web applications. This includes Node.js Certification from the OpenJS Foundation and ongoing code-reviews and remote webinars.
Many of our engagements begin with a request for help on an existing problematic application. We have assisted some of the world’s biggest brands in rescuing and hugely improving apps that may have accumulated much technical debt or suffered from architectural mistakes early on.
As more and more organisations move from legacy stacks to JavaScript, they reach out to us for guidance on how best to achieve that. Whether it’s moving from .NET or Java to Node.js or just migrating to newer front-end frameworks like React, we can ensure you avoid many common pitfalls.
For organisations creating new fullstack JavaScript applications or all new front-ends on existing applications, NearForm’s expertise can be invaluable. From consulting, to workshops, to embedded capability building to full solutions, we have the skills to enable you to deliver quickly.
Our accelerators are a suite of starter applications and configurations which mean that you can do a week 1 demo of your project to your stakeholders. They take all of the knowledge of 150+ application builds and turn them into code and deployments.

Data Engineering Projects

skycatch data engineering project

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Skycatch

Optimised, scalable and extensible data processing, analytics and visualisation platform

“The NearForm team is at the forefront of their field and have expertise in best practices and the latest effective technologies. Each team member was highly motivated and completely dedicated to a very challenging project, from start to finish. NearForm proved to be so much more than a hired vendor – they lived and breathed as a natural extension of our own world-class engineering team.”
Christian Sanz, CEO, Founder, Skycatch
EY data engineering project

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EY

Self-service online platform built on JavaScript technologies

“Instead of putting something like an Excel sheet online, NearForm helped us capture that information and integrate it into EYVA to produce an online report, so business owners can answer key questions themselves. The technologies NearForm uses – Node.js and Open Source, microservices – are where we see the future.”
Alex Collins, Director of EY Virtual Advisor, EY

Every partnership starts with a conversation.

Consultancy, capability or your next project, we’re happy to chat. Talk to one of our experts.

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