Senior Analytics Engineer

Harnham

Oxfordshire, UK

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£60,000.0 - £65,000.0

Working hours

Regular working hours

Job source

www.reed.co.uk

Tech stack

Business Analytics Applications Data Analysis Microsoft Azure Continuous Integration Data Architecture Information Engineering Data Infrastructure Extract Transform Load (ETL) Data Mart Data Security Data Systems Data Warehousing

+14 more

DevOps SQL Azure Power BI Scripting Cloud Platform System Azure Data Factory Sql Optimization Git Build Management Microsoft Fabric Data Management Azure Synapse Analytics Data Pipelines Legacy Systems

Job description

The Senior Analytics Engineer will:

Develop, maintain, and enhance cloud-based data platforms and analytics solutions
Design and build scalable ETL and ELT pipelines to support reporting and data products
Work closely with stakeholders to translate business requirements into technical solutions
Develop and optimise data warehouses, data marts, and reporting environments
Ensure high standards of data quality, performance, reliability, and governance
Automate data processes and deployments using modern engineering practices
Monitor, troubleshoot, and continuously improve data infrastructure
Contribute to data architecture decisions and support the modernisation of legacy systems
Create clear technical documentation and maintain best practices across data engineering workflows
Collaborate with developers, analysts, and business teams to deliver impactful data solutions

Requirements

The ideal candidate will have the following skills and experience:

Strong commercial experience with Azure-based data technologies such as Azure SQL, Azure Data Factory, Microsoft Fabric, Synapse, or related platforms
Expertise in designing and maintaining modern data warehouse architectures
Advanced SQL skills and experience with CI/CD processes and Azure DevOps
Strong Python scripting capabilities for automation, orchestration, and pipeline optimisation
Experience working with ETL and ELT frameworks and data management best practices
Knowledge of data security, governance, and regulatory requirements
Experience with analytics and visualisation tools such as Power BI or similar platforms
Familiarity with Git version control and collaborative development practices
The ability to communicate effectively with both technical and non-technical stakeholders
A proactive approach to problem-solving and delivering high-quality solutions