Data Engineer

Ziff Davis
London
4 days ago
Create job alert

Description

Position at RetailMeNot With over 8 million members, VoucherCodes is one of the UK’s largest money savingwebsites. Partnered with big brands like ASOS, Nike, Argos, Expedia and Pizza Express, we receive over 8 million visits per month. Right now, we’re looking for a Data Engineer to work as part of our Engineering team in London.We design, develop and operate all data systems across the company. This includes ETL, our data warehouses, real-time click streams, and EMR to support personalisation of content to our users. We are looking for someone to help us as we continue to evolve the architecture and technology stack of our data systems. We use Python as our primary language for all data projects, however a couple of systems remain in PHP and are currently being migrated to Python. We manage our own AWS account and Kubernetes cluster with EKS. We work alongside our Platform Team to ensure we are following best practices and company standards. This approach enables us to maintain our own infrastructure. You will have good software development experience with Python coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who have excellent attention to detail and care about the features they implement.What we need from you: At least 3 years of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with a columnar database such as Redshift Strong Experience with ETL/ELT and the management of data pipelines Familiarity with snowplow Experience with Data Integration from a variety of sources Good cross-team communication skills Familiarity with continuous integration, unit testing tools and related practices Understanding of Agile Scrum software development lifecycle What you’ll be doing: Implementing and maintaining ETL pipelines using Airflow & AWS technologies Contributing to data-driven tools owned by the data engineering team, including content personalisation Responsibility of ingestion framework and processes Helping monitor and look after our data infrastructure in AWS Supporting our Business Analytics & Marketing teamsWhat you’ll get from us:A culture that pushes you to be your best self Two uninterrupted hours a week dedicated to your personal development A tailored personal development plan, to ensure that you can continue to grow and achieve your career goals The flexibility to get that perfect work/life balance Zumba, football, table football, and pool table to work off all the free snacks Quarterly socials to let your hair down with your team Working Pattern: Hybrid, minimum 1-2 days per week in our London office (Yeoman House, Sekforde Street, London, EC1R 0HF)Join us at our bright, spacious open-plan office. Situated in the heart of London, we occupy all three floors of Yeoman House in Clerkenwell. The area is home to a wonderful array of cafés, restaurants, pubs and galleries. There's some of the best street food London has to offer right on our doorstep. You will also have flexibility to get that perfect work/life balance by working some days remotely if you wish. So, what's next?If we’ve piqued your interest, all you need to do to apply is send us your CV with a 200-300 word covering letter outlining why this role and VoucherCodes appeal to you (remember we’ll also have your CV so use this space to tell us what you’re excited about rather than what you’ve already achieved). Vouchercodes is part of Ziff Davis. Ziff Davis (Nasdaq: ZD) is a vertically focused digital media and internet company whose portfolio includes leading brands in technology, entertainment, shopping, health, cybersecurity, and martech. We aspire to build a sustainable, profitable and growing enterprise — and much of this is dependent on the calibre of people, technology and culture that are all important parts of the transaction. Want to know more? Check out our careers page /careers/

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.