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# Data Engineer

- **Company:** LA International Computer Consultants
- **Location:** Stoke-on-Trent, UK (Remote available)
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Database, Data Files, Data Governance, Extract Transform Load (ETL), Data Security, Data Visualization, Relational Databases, Database Design, Query Languages, R (Programming Language), Python (Programming Language), Performance Tuning, Query Optimization, Power BI, Software Tools, SQL Databases, Azure Data Factory, Azure Synapse Analytics, Data Pipelines
- **Published:** June 23, 2026
- **Apply:** https://www.free-work.com/en-gb/tech-it/job-mission/data-engineer-1/data-engineer-1368

## About the Role

Degree in Computer Science, Information Systems, or a related field or equivalent experience

 - Querying languages e.g. SQL, R, Python
 - Data modelling, ETL data pipeline tools, e.g. Azure Data Factory
 - Data visualisation tools e.g. PowerBI, Qlik
 - Certification in data engineering or related domains
 - Demonstrable experience showing competency working with multiple, complex data sets
 - Demonstrable experience showing competency working with data classification and standards
 - Demonstrable experience showing competency and ability to give examples of successful, hands-on implementation of ETL processes and delivery of data pipelines..
 - Demonstrable experience showing competency working in data in the public sector
 - Competent ability to clean, integrate and scale data sets and pipeline, fixing problems in data sets, from low performance to bugs and outages
 - Proficiency in using query languages such as SQL, Python, R, with any ability to work with - SQL databases
 - Competent ability to produce ETL Routines to meet requirements.
 - Competent ability in building, writing and executing tests to ensure data pipelines and
products meet the needs of the Force

 - Competent experience with data visualization tools (e.g. Power BI) for reporting and analytics purposes.
 - Solid understanding of relational databases, including database design, query optimization, and performance tuning.
 - Applied knowledge of modern data engineering tools, technologies and practices.
 - Familiarity with data governance principles, data privacy regulations (e.g., GDPR, CCPA), and data security best practices.
 - Familiarity with cloud platforms (e.g., AWS, Azure) and experience with cloud-based data services (e.g., Azure Data Factory, Azure Synapse etc.)
 - Understanding of the working practices of a Police Force

## Description

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