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# Data Engineer

- **Company:** AND Digital
- **Location:** Skipton, UK
- **Salary:** £52,127.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Amazon DynamoDB, Python (Programming Language), Standard Sql, DataOps, Cloud Platform System, Snowflake, Amazon Redshift, Databricks
- **Published:** September 16, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5884712803

## About the Role

* You care deeply about producing high-quality work that delivers real value
 * You're comfortable navigating ambiguity and solving complex problems collaboratively
 * You bring strong expertise in your craft, alongside a willingness to keep learning
 * You communicate clearly and build trust quickly with clients and teammates
 * You're pragmatic, adaptable and outcome-focused
 * You value low-ego collaboration and enjoy working as part of multidisciplinary teams

What you'll bring to the table:

 * Develop pipelines that brings data to life for decision making, either delivering insight or for more sophisticated data science applications
 * Be confident in being hand on with data, applying the practicalities of quality, flow, and organisation of information.
 * Bring experience in coding in Python and SQL
 * Have solid experience of Snowflake and Azure DataBricks
 * Have a good understanding of AI usage of data
 * Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc)
 * Have experience with DataOps concepts

## Description

We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.


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