Performance & Insight Engineer - Kempston

Performance & Insight Engineer - Kempston

Salary: *GBP*46,579 per annum - *GBP*50,908 per annumBasis: Full timePackage: 37 Hours Per Week, Hybrid Working, Flexitime Scheme, Local Government Pension Scheme, Holiday allowance of 25 days (plus public holidays) on joining.Contractual Hours: 37Region: CentralJob Category: Information Technology

Job Description:

Are you passionate about data, able to use your skills to develop and maintain reliable data systems and turn complex information into compelling insight?

If so, we are looking for a skilled professional to join our team. This role combines technical data engineering with analytical thinking, requiring someone who can not only manage and transform data, but also interpret it, communicate its significance, and help shape decisions across Bedfordshire Fire and Rescue Service.

About the role

You will build and maintain databases, data warehouses, pipelines and automated Extract, Transform, Load (ETL) processes that facilitate reporting, analysis and insight using internal data sets from the Services systems, and external data shared with the Service or from the public domain.

You will ensure that databases and data warehouses are populated accurately, accessible and efficiently structured for reporting and analysis. You will make use of SQL-based data engineering and automated workflows

You will provide high-quality analysis and insight to support decision-making. You will also lead on cyclical reporting, both internal and to external stakeholders, and prepare responses to ad-hoc data requests, including Freedom of Information requests.

Key responsibilities

• Build and maintain databases and data warehouse structures to support reporting and analysis, ensuring compliance with the Services data governance, quality and security policies.
• Develop, optimise and maintain SQL based ETL processes to populate databases and data warehouse structures, to ensure performance, reliability and scalability and facilitate timely, accurate reporting.
• Improve governance processes by developing, documenting and maintaining automated workflows and ETL processes with associated error handling. This will benefit administration and uptime of key data for reporting and analysis purposes.
• Complete ad hoc imports into, and updates of, SQL data tables, SharePoint repositories and other internal data sources to ensure timely availability of non-automated data sources for reporting purposes.
• Develop and maintain auditing and monitoring for existing and new automated ETL processes to identify failures or data quality issues promptly and support rapid resolution.
• Maintain processes for the anonymisation and deletion of data in line with the Services data retention and information governance policies.
• Use data analysis and visualisation tools to analyse data, identify trends, correlations and outliers and produce clear, compelling outputs tailored to different audiences.
• Validate data quality by identifying issues and working with data owners to address root causes, ensuring accurate and reliable data is used for reporting and decision making.
• Create and maintain technical documentation, including data dictionaries, data models and process flow diagrams, to support transparency, maintainability, auditability and business continuity.
• Respond to internal and external requests for information accurately and in a timely manner, in compliance with Service policies and statutory requirements, including preparing responses to Freedom of Information requests.

About You

You will have:

• You must have the right to live and work in the UK. We are unable to offer sponsorship.
• A degree or equivalent in a Mathematical, Statistical, Scientific or Technology-related subject.
• In-depth experience of SQL development, including writing complex queries and building stored procedures.
• In-depth experience of data modelling for reporting purposes.
• Significant experience of data analysis to produce insightful reports.
• In-depth experience of creating extract, transform and load (ETL) workflows to process data from multiple sources.
• Skills in Microsoft SQL Server programming.
• Skills in using a process automation platform.
• A working