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# Data - UK

- **Company:** DBD International
- **Location:** Risley, UK
- **Experience:** Experienced
- **Salary:** £53,184.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Information Engineering, Data Structures, Python (Programming Language), Cloud Services, SQL Databases, Scripting, Cloud Platform System, Snowflake, Microsoft Fabric, Information Technology, Data Lineage, Data Management, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5829422384

## About the Role

* Around 3-5 years' experience in a data-related role (e.g. data engineering, data modelling, analytics engineering).
 * Strong competence in SQL, plus at least one scripting or data query language (e.g. Python).
 * Experience working with cloud-based data platforms (e.g. Azure, AWS, Microsoft Fabric, Snowflake, Databricks or equivalent).
 * Experience building or supporting data pipelines, transformations or models used in reporting, analytics or applications.
 * Degree in Computer Science, Data Science, Engineering or a related discipline (or equivalent professional experience).
 * Experience in a regulated or safety-critical industry (energy, aerospace, nuclear, defence) is desirable but not essential.

## Description

We're looking for a Data Engineer to build and maintain the data pipelines, models and transformations that power reporting, analytics and integration across a complex delivery programme. You'll work hands-on with SQL and cloud data platforms, ensuring data is structured, accessible and usable by the wider business.

What you will be doing:

 * Building and maintaining data models (logical and physical) used for reporting, analytics and integration.
 * Writing and optimising SQL to query, transform and structure data across platforms.
 * Designing and implementing data pipelines and transformations, working across cloud-based data platforms.
 * Working alongside data architects, analysts and digital teams to ensure data is usable, accessible and aligned to business needs.
 * Supporting data quality, security and classification standards as data moves across systems.
 * Documenting data lineage, structures and transformation logic for traceability.
 * Gathering requirements from stakeholders and translating them into data structures and pipeline components.
 * Contributing to continuous improvement of data processes, guidance and documentation.


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