National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

BI Developer

RedRock Resourcing
Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Power BI Developer, BI Developer (Business Intelligence Developer), Data Visualisation Specialist, Power Platform Developer, BI Analyst, Data Analyst (Power BI focused), Reporting Analyst, Dashboard Developer

Data Analyst

Data Engineer (Enterprise DataWarehouse Developer)

Data Analytics Manager

Lead Data Engineer

Lead Data Engineer

BI Developer


Location:Central Bristol - Hybrid working (2-3 days a week in the office)

Salary:Up to £40,000

Benefits:Include private healthcare, a personalised career development plan, and elegibility for an individual training budget.


The Role:


We're working with an award-winning organisation in central Bristol in support of their search for an experienced BI Developer. This is a unique opportunity to join an industry leader that has invested heavily into the latest Microsoft technologies to drive data-led decision making and deliver automated insights across the business.


You'll play a key role in building and optimising ETL/data pipelines, developing modern reporting solutions, and shaping how data is used across the organisation.


Key Responsibilities:


  • Build and optimise ETL processes using Microsoft SQL Server.
  • Develop and maintain data pipelines feeding into data lakes and warehouses.
  • Design and deliver dashboards and reports using Power BI and SSRS.
  • Tune SQL queries, indexes, and database performance.
  • Ensure data integrity, governance, and documentation across all solutions.
  • Work closely with stakeholders to understand and deliver data requirements.
  • Explore AI-powered enhancements for automated insights and report generation.


Required Experience:


  • Demonstrable experience in ETL pipeline development and data modelling.
  • Strong SQL Server skills, including performance tuning and stored procedures.
  • Hands-on experience with Power BI, SSRS, and SSIS.
  • Understanding of data governance policies and best practices.
  • Ability to communicate with internal teams and non-technical business stakeholders.


If you're a motivated BI Developer/Data Engineer with strong experience in ETL, data modelling, and database management, please apply for an initial chat and further details on this position. I look forward to hearing from you!


Please note, visa sponsorship is not available for this position and the above requirements are essential. Applicants will be unsuccessful if they don’t meet these requirements, or aren’t within commuting distance of Bristol.

National AI Awards 2025

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.

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

🍪 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.