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

Nominate & Attend

Lead BI Developer - West London - Power BI and Tableau

Richmond
3 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Consultant

Data Migration Lead

Microsoft Fabric Data Engineer

Azure Data Engineer

Senior FP&A Analyst

Data Analyst

Lead BI Developer - Shape the Future of Data-Driven Marketing

Are you a BI expert who loves turning complex data into compelling stories? I’m looking for a Lead BI Developer to join a leading Tech and Data consultancy in West London or Leeds (hybrid working) .

What you'll be doing:

You'll take ownership of their BI solutions, creating visualizations and reports that drive real business decisions for world-class brands. This isn't just building dashboards – you'll be a trusted advisor, helping clients extract meaningful insights from their data and transforming how they approach marketing.

You'll work with Data Engineers and Analysts to design and develop scalable reporting solutions using tools like Power BI, Tableau, or Looker. You'll also have the chance to mentor junior team members and help shape their BI capabilities.

What we're looking for:

  • Extensive experience developing BI solutions, ideally in client-facing roles

  • Expert-level skills in Power BI, Tableau, Looker, or similar tools

  • Strong SQL abilities and query optimization experience

  • Experience with cloud data platforms (AWS, Azure, Google Cloud)

  • Understanding of data modeling, warehousing, and ETL processes

  • The ability to translate technical concepts into business language

  • Python or R skills are a plus

    What they offer:

  • Salary range: £50,000 - £70,000 plus share options after one year

  • 25 days holiday plus 3 extra days between Christmas and New Year

  • Pension, life assurance, and private healthcare

  • Flexible benefits including EV leasing and cycle-to-work scheme

  • Hybrid working – 1-2 days a week in the West London or Leeds Office

  • Career growth opportunities in a dynamic, friendly team

    If you're passionate about using data to drive marketing transformation and want to work with major brands on their data journey, I'd love to hear from you.

    PLEASE APPLY NOW
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.

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

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.

LinkedIn Profile Checklist for Data Engineering Jobs: 10 Tweaks to Maximise Recruiter Visibility

As organisations harness vast volumes of data, the demand for skilled data engineers—experts in ETL pipelines, data warehousing, and scalable architectures—has surged. Recruiters routinely search LinkedIn for candidates proficient in tools like Spark, Kafka and SQL pipelines. To stand out, your profile must be optimised for relevant keywords and showcase your technical impact. This LinkedIn for data engineering jobs checklist provides ten precise tweaks to maximise recruiter visibility. Whether you’re building your first data platform or architecting petabyte-scale systems, these targeted adjustments will make your profile attract hiring managers and land interviews.

Part-Time Study Routes That Lead to Data Engineering Jobs: Evening Courses, Bootcamps & Online Masters

Data engineering is at the heart of modern digital transformation. From building scalable ETL pipelines in finance to designing real-time analytics platforms in e‑commerce, organisations across the UK are investing heavily in data infrastructure. As a result, demand for skilled data engineers—professionals who can ingest, process, store and serve vast volumes of data—is soaring. Yet many aspiring engineers cannot pause their careers to study full time. Thankfully, an extensive range of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master's Programmes—allows you to learn data engineering while working. This in-depth guide covers every route: foundational modules and short courses, hands‑on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re a database administrator, software developer or business analyst aiming to pivot into data engineering, this article will help you map out a tailored path to build in-demand skills without interrupting your professional or personal life.