Lead Data Engineer

KPMG
London
6 days ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Only 24h Left: Lead Data Scientist

Big Data Lead

Data Engineer / Analytics Engineer

Azure Data Engineer - SC Cleared

Lead Data Insight Analyst

The Role

 

The Analytics Lead will be an integral part of a team delivering data services & solutions to clients across KPMG’s Tax & Law practice. 

 

Working with a mixture of UK-and India based data engineers and data analysts, you will play a key role in designing and implementing market leading data focused solutions. .

 

You will be expected to showcase the power of our data focused technology to our clients and internal stakeholders in knowledge sharing events.

 

The role can be based anywhere in the UK, though preference will be given to candidates in Glasgow and London. Remote or part-time workers are welcome to apply.

 

Whilst there is no expectation of existing knowledge of tax, we would expect you to develop a degree of domain knowledge over time. 

 

You will have …
 

Previous experience as an Analytics lead, lead data analyst or analytics engineer. Proven experience using advanced analytics to solve complex business problems  Excellent knowledge of Alteryx, ideally with the Alteryx Designer certification. Excellent knowledge of data visualisation tools, ideally Power BI and Tableau. Strong problem-solving skills, with the ability to logically analyse complex requirements, processes and systems. Strong people skills, able to engage with a wide range of stakeholders at all levels  A passion for continual professional development and willingness to experiment with new technology.  Passion about using data to drive key business decisions. Management or mentoring experience. 

You may have ...
 

Experience using the Azure data services Synapse Analytics, Data Lake & SQL Data Warehouse  Strong SQL coding ability as well as Python scripting.  Experience using data platforms like Databricks or Snowflake. Experience manipulating large data sets. A good understanding of Machine Learning techniques & large language models Worked with Agile teams using Scrum or the Scaled Agile framework. Alteryx advanced or expert certifications & Alteryx Server administration 

 

In this role you will …

 

Design and implement high quality analytics solutions. Lead teams to build Data solutions to help our business to provide services to clients.  Work with teams of analysts using Alteryx and related tools to automate a variety of ETL and reporting processes for internal and external clients  Work with teams of BI Developers to deliver visualisations that provide key insights to our clients  Coordinate business development activities with senior colleagues across the business and present at client pitches  Embed best practice and a culture of quality across the data team  Coach and mentor others to help them achieving their potential Engaging with multiple key stakeholders internally and externally

 

 

The best of both worlds


We might be world leaders, but in many ways the department feels like a start-up, with a twist. There’s the buzz of scrum working, the thrill of shaping compelling experiences, the chance to surprise and stretch yourself in response to a fresh challenge. And then there’s all the resources, technology and high-profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.