BI Developer

Woking
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Science and Innovation Manager

Associate Director, Data Science - Market Access

Data Scientist

Data Lead - Artificial Intelligence & Automation (12 Month Fixed-Term Contract)

Data Scientist

Job Title: BI Developer

Salary: £40,000 - £50,000 DOE

Location: Woking (onsite)

We are seeking a talented and motivated BI Developer to join our expanding technology team at an exciting time of business growth and transformation. As part of our dynamic and fast-paced environment, you will be responsible for designing, developing, and maintaining reports and dashboards that provide valuable insights to stakeholders across the business.

Located just a two-minute walk away from the Woking town centre, they provide a challenging and rewarding careers. We achieve this by offering continuous learning and development, collaborative teamwork environment and exposure to a wide variety of work.

Imagine and shape your future where you can grow professionally, in a diverse and inclusive workplace that rewards your contribution at a leading Financial services company.

Key Responsibilities:

Develop, maintain, and optimise reports and dashboards using SSRS and Power BI to support business decision-making.
Extract, transform, and load (ETL) data from various sources using T-SQL, SSIS, and Azure Data Factory Pipelines.
Work with business stakeholders to gather reporting requirements and ensure the effective visualisation of data.
Manage and optimise Azure SQL databases to enhance performance and efficiency.
Ensure data accuracy, consistency, and reliability across all reports and dashboards.
Support the integration of various data sources and platforms to enable seamless data flow.
Collaborate with cross-functional teams to enhance business intelligence capabilities and align solutions with company objectives.
Maintain and improve data models to support evolving business requirements.
Troubleshoot and resolve any data or reporting issues, ensuring business continuity.
Leverage best practices in data governance, security, and compliance.
Provide support and training to end-users on BI tools and reporting functionalities.

Requirements:

Extensive experience in T-SQL and database management in Azure SQL environments.
Strong expertise in SSRS and Power BI for reporting and dashboard development. BI Developer Job Description 2025
Proficiency in SSIS and Azure Data Factory Pipelines for data integration and transformation.
Experience working with and processing XML data is advantageous.
Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
Excellent communication and stakeholder management skills, with the ability to gather and interpret business requirements.
A proactive approach to continuous improvement and innovation in data solutions.Qualifications:

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
Relevant certifications in Microsoft BI technologies (e.g., Microsoft Certified: Data Analyst Associate, Azure Data Engineer) are desirable.In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.