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# Data Engineer

- **Company:** Hays plc
- **Location:** UK
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Business Intelligence Development, Big Data, Microsoft Online Services, Continuous Integration, Information Engineering, Data Transformation, Data Security, Data Warehousing, SQL Azure, Performance Tuning, Role-Based Access Control, Power BI, Standard Sql, SQL Databases, Cloud Platform System, Azure Data Factory, Data Lakes, Pyspark, Software Version Control, Data Pipelines, Databricks
- **Published:** May 14, 2026
- **Apply:** https://www.careerjet.co.uk/jobad/gba573c41259f2d803c170cb57f4fbe783

## About the Role

* 1-4 years of experience in a Data Engineer, Analytics Engineer, or similar role
 * Strong working knowledge of SQL
 * Familiarity with Power BI, including datasets and basic to intermediate DAX
 * Solid understanding of dimensional data modelling for analytics and reporting
 * Experience working with large datasets in a cloud environment
 * Understanding of data quality, performance tuning, and pipeline orchestration concepts
 * Stakeholder management skills
 * Familiarity with Agile practices
 * Data Analysis skills
 * Understanding of Azure and Microsoft ecosystem

Nice to Have

 * Experience in a retail or consumer-focused industry
 * Hands-on experience with Azure Databricks and Azure Data Factory
 * Experience using PySpark for data transformations
 * Exposure to Data Lake or Lakehouse architectures
 * Familiarity with CI/CD concepts for data pipelines
 * Experience working with incremental loads and slowly changing dimensions (SCDs)
 * Knowledge of Azure services beyond the core stack (e.g., Azure Storage, Azure SQL)
 * Understanding of security principles beyond RLS and Data Access (Networking, MFA, RBAC)

## Description

We're looking for a Data Engineer to join our growing data team and help build, maintain, and optimise data pipelines that support analytics and reporting across our retail business. You'll work closely with analytics, BI, and business stakeholders to deliver reliable, well-modelled data that drives decision-making and enables applications of AI such as Natural Language Querying through Databricks Genie.
This is a hands-on role suited to someone with solid foundations in data engineering who is eager to deepen their skills in cloud-based data platforms and modern analytics., * Design, build, and maintain scalable data pipelines using Azure Data Factory and Azure Databricks

 * Develop and optimise PySpark and SQL transformations for batch and analytical workloads
 * Model data using dimensional modelling principles (e.g., star and snowflake schemas) to support reporting and analytics
 * Contribute to semantic models and datasets consumed by Power BI, working with measures and DAX where required
 * Ensure data quality, reliability, and performance across data pipelines
 * Support ingestion of data from various data sources and formats
 * Collaborate with BI developers, analysts, and business stakeholders to understand data requirements
 * Monitor, troubleshoot, and improve existing data workflows
 * Follow engineering best practices including version control, documentation, and testing


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