Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Business Intelligence Developer (SQL / ETL / SSIS / PowerBI)

Birmingham
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - Azure, BI & Data Strategy

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

This Large Government Body are looking for a Business Intelligence Developer to play a crucial role in maintaining and enhancing their Business Intelligence solutions and automated tools. You will work with Customer Service, Finance, HR, and divisions to generate valuable management information

Client Details

Large Government Body

Description

This Large Government Body are looking for a Business Intelligence Developer to play a crucial role in maintaining and enhancing their Business Intelligence solutions and automated tools. You will work with Customer Service, Finance, HR, and divisions to generate valuable management information.

Collaborating with a diverse team of technical and data specialists, you will improve reporting capabilities and ensure thorough documentation of any changes to reporting solutions. Your role will be vital in developing and delivering accurate, reliable, and effective management information to support the organisation's needs.

The role is Hybrid with 20% of a working month based in the office either in Leeds, Birmingham or Cardiff

Key Responsibilities:

· You will be an authoritative voice identifying opportunities for improving the way data is sourced and stored in the data warehouse.

· Work closely with the Performance Analysts, Lead BI Developer, CRM and SharePoint specialists to ensure that new and changed reporting requirements are properly captured prior to analysis and development.

  • Lead in the design and support of robust routines for the production and delivery of reliable, accurate, agreed Management Information from key systems (case management, telephony, finance and HR)

  • Assess requirements, design solutions, document models, and deliver ETL solutions using SSIS and Azure Data Factory.

    · Develop and modify existing ETL models to support changes to the business process or emerging business needs.

  • Maintain and develop further the data warehouse in line with changing business MI needs.

  • Identify and articulate opportunities to put further query and reporting capabilities in the hands of business users.

  • Support data quality across the organisation by working with users to identify and rectify data capture errors.

    Essential Key Skills / Experience:

  • A great communicator, able to communicate effectively with all levels of the organisation.

  • Good understanding of best practice in Data Warehouse Implementation

  • Strong critical thinking / problem solving / trouble shooting and decision making with the ability to work to deadlines.

  • Adapt to changes and re-evaluate priorities to meet changing priorities.

  • Advanced ETL, SQL programming / SSIS skills

  • Skills in data mapping and modelling.

  • 3-5 years' experience in SQL language

  • Knowledge of Kimball methodology / Star Schema modelling in Data Warehousing.

  • Experience of SSIS and SSMS.

  • Good understanding and experience of building ETL processes including extracting data via APIs.

  • Advanced understanding and ability to build and develop Power BI reports and dashboards to a high standard fulfilling business needs.

  • Preparing and communicating reports and management information

    Desirable Skills / Experience:

  • Management of Azure PaaS and IaaS instances.

  • Experience of Azure Data Factory.

  • Experience of SSRS

  • Experience of PowerApps and Power automate

    Profile

    Essential Key Skills / Experience:

  • A great communicator, able to communicate effectively with all levels of the organisation.

  • Good understanding of best practice in Data Warehouse Implementation

  • Strong critical thinking / problem solving / trouble shooting and decision making with the ability to work to deadlines.

  • Adapt to changes and re-evaluate priorities to meet changing priorities.

  • Advanced ETL, SQL programming / SSIS skills

  • Skills in data mapping and modelling.

  • 3-5 years' experience in SQL language

  • Knowledge of Kimball methodology / Star Schema modelling in Data Warehousing.

  • Experience of SSIS and SSMS.

  • Good understanding and experience of building ETL processes including extracting data via APIs.

  • Advanced understanding and ability to build and develop Power BI reports and dashboards to a high standard fulfilling business needs.

  • Preparing and communicating reports and management information

    Desirable Skills / Experience:

  • Management of Azure PaaS and IaaS instances.

  • Experience of Azure Data Factory.

  • Experience of SSRS

  • Experience of PowerApps and Power automate

    Job Offer

    Opportunity to deliver enhanced analytics and reporting services

    Opportunity to influence and enhance insight & analytics strategy

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Jobs

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.

Jobs

Why the UK Could Be the World’s Next Data Engineering Jobs Hub

Data is now the lifeblood of the digital economy. Every industry—healthcare, finance, retail, manufacturing, transport, and government—relies on data to make decisions, power applications, and enable innovation. But raw data is only valuable if it can be collected, processed, cleaned, and made available for analysis. This is the role of data engineering. Over the past decade, data engineering has emerged as one of the fastest-growing areas of technology. Data engineers design and build the pipelines, platforms, and architectures that allow organisations to harness the power of big data, cloud services, artificial intelligence, and machine learning. Without them, the data economy would grind to a halt. The United Kingdom is uniquely placed to become the world’s next data engineering jobs hub. With its thriving tech ecosystem, leading universities, strong financial markets, and expanding data infrastructure, the UK already has many of the foundations needed. This article explores why the UK has this opportunity, what is driving demand, the career prospects for professionals, and what must happen for the UK to seize global leadership in data engineering jobs.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.