Revenue Accountant

Matillion
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Finance & Data Analyst

High Salary: Senior Data Engineer, Consultant...

Data Scientist | London | AI-Powered SaaS Company

Data & Technology Consulting Director

Commercial Data Analyst

Data Scientist

Matillion is The Data Productivity Cloud.We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves.Are you an experienced finance professional with an interest for revenue recognition and accounting - come join #teamgreen as our newRevenue Accountant.As the Revenue Accountant, you will play a pivotal role in optimising our consumption-based business model by overseeing all aspects of revenue recognition accounting. We value in-person collaboration here at Matillion, therefore this role will ideally follow our hybrid work structure where Matillioners work 2 days a week in the Manchester office.

What you will be doing

Oversee and ensure the integrity of the revenue recognition process in both consumption-based and subscription models. Lead and manage the month-end close process specifically for revenue recognition. Collaborate with the Accounts Receivable team to ensure timely and accurate customer billing, collections, and balance sheet reporting. Own and maintain accounting policies and controls related to revenue recognition, ensuring they are well understood and adhered to. Assist in driving system enhancements through collaboration with IT support and other key stakeholders. Work alongside the sales teams to ensure revenue recognition requirements are met for all deals. Support the annual audit process by ensuring that revenue recognition testing is completed in a timely manner for auditors.

What we are looking for

A fully qualified accountant (ACA, ACCA or similar). Demonstrable accounting experience, ideally in a high-growth or Pre-IPO environment. Strong familiarity with ERP systems (experience with Oracle or Netsuite is preferred). Have experience with SaaS revenue recognition with an understanding of GAAP and IFRS 15 Rev Rec standards. Strong organisational, analytical, and problem-solving capabilities. A collaborative mindset with the ability to work effectively across a global team.

At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role’s estimated annual salaried pay range for this position is £44,000 - £66,000. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process.Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits:- Company Equity - 30 days holiday + bank holidays- 5 days paid volunteering leave- Health insurance- Life Insurance- Pension - Access to mental health supportMore about MatillionThousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world.We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado.We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email .Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.