Data Engineer

Engineering | UK

Role overview

The purpose of this role is to deliver high-quality data solutions as part of product and project engineering at Retail Insight. Data engineering at Retail Insight includes creating and maintaining data pipelines, orchestration, data wrangling, and SQL to support existing and new client deliveries, and a growing focus on product engineering. Working alongside other engineers in a cross-functional squad, you’ll contribute to design, architecture, and implementation.

In this role, you’ll get to

  • Contribute to the next iteration of our data pipelines, working to increase our capability and features to ensure that client data is processed quickly and reliably through our systems.
  • Develop applications and tools with clean and maintainable code to our coding standards.
  • Building and supporting traditional and cloud-native technologies to build and run scalable, manageable, and resilient applications.
  • Automate to accelerate, eliminate redundant and manual steps to get things done, so that every engineer in the team can focus on the things that engineers do best.
  • Develop secure / Operations ready production code.
  • Proactively identify issues and opportunities and tackle them. Contribute and solve problems.
  • An intuitive nature, with high levels of curiosity, and a passion to learn and build new things.

We are looking for people who

  • Have demonstratable data engineering implementation experience in both design and operations.
  • Can work in a collaborative team environment.
  • Are a proficient programmer of a database querying language.
  • Are a proficient programmer of a scripting or any other programming language.
  • Have an understanding of agile methodologies.
  • Are keen to learn new skills and technologies.

About Retail Insight

Retail Insight takes data and turns it into action. Our advanced algorithms unlock valuable insights that drive better decision-making for retailers and CPGs.

We’re a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly.

We focus on the factors that drive sales and profit performance, minimize waste and loss, and increase operational efficiency. The result: dynamic solutions that provide actionable insights and unparalleled time to value.

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