Data Engineer: Azure Databricks Platform & Analytics

Big Red Recruitment; Stratford-upon-Avon; On-site; GBP 58,000 - 70,000; Full time

Benefits offered by this job

Salary up to £64,000

Discretionary bonus up to 20%

25 days' holiday, with the option to 5

5% contributory pension

Discounts on gym memberships, electric

Support towards professionalqualifc

certifications

Job summary

Big Red Recruitment is seeking a Data Engineer to play a hands-on role building and optimising Azure Databricks pipelines across Bronze, Silver and Gold layers, while integrating new data sources via APIs and system extracts.

You will investigate data quality issues, trace anomalies to source systems, and help shape data transformations to ensure the Gold layer supports Power BI. Collaboration with stakeholders across Finance, HR, CRM, Property and Operations is key.

Qualifications

• Experience building production data pipelines in Azure Databricks.
• Understanding of Medallion architecture and data modeling.
• Strong SQL skills and focus on data quality.
• Experience with Azure DevOps CI/CD pipelines.
• Good communication and stakeholder collaboration.

Responsibilities

• Build and optimize data pipelines across Bronze, Silver, and Gold layers.
• Integrate new data sources via APIs and system extracts.
• Investigate data quality issues and trace anomalies to source systems.
• Shape data transformations and ensure Gold layer supports Power BI.
• Collaborate with stakeholders across Finance, HR, CRM, Property and Operations.

Skills

Azure Databricks

Medallion architecture

SQL

Azure DevOps

CI/CD

Python

Power BI

Power BI semantic models

Tools

Azure Databricks

Azure DevOps

Job description

Big Red Recruitment is seeking a Data Engineer to play a hands-on role building and optimising Azure Databricks pipelines across Bronze, Silver and Gold layers, while integrating new data sources via APIs and system extracts.

You will investigate data quality issues, trace anomalies to source systems, and help shape data transformations to ensure the Gold layer supports Power BI. Collaboration with stakeholders across Finance, HR, CRM, Property and Operations is key.