Data Engineer

With over 8 million members, VoucherCodes is one of the UK's largest money saving websites. 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 teams

What 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