Data Engineer

Peak ,
London, Greater London
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Job Description

Peaks mission is to boost peoples wellbeing in a smart way. We make digital products that add value to your world and help you enjoy life more. Founded in 2013, Peak has grown quickly, producing Peak Brain Training, the number 1 brain training app on mobile, downloaded over 50 million times globally. Peak Brain Training was chosen by both Apple and Google as one of the best apps available and is regularly featured by both as a leading example of smart mobile technology. 2020 is an exciting year for the business which will see us build on our success as the market leader. Working as a Data Engineer, you will be the go to person for all data engineering and data infrastructure related matters on our Brain Training app. You will be an invaluable partner for the data team, providing them with the solid foundation they need to transform raw data into valuable insights for the business. You will own our tracking design, manage our ETLs, optimise our data pipelines and collaborate with the rest of the data team to provide the visualisations and dashboards that drive the product decisions we make on a daily basis. Responsibilities * Become the in house expert on how to design event tracking for our apps * Build and maintain ETL and data pipelines, to be efficient, clean and scalable * Be a key partner for our current data team in all matters on data engineering * Manage our data infrastructure on AWS, continually assessing usage and needs * Contribute to our visualisation tools, sharing your magic with the wider business! Requirements * Expert SQL & database skills & familiarity with other languages (Python/Java/Similar) * Comfortable designing tracking solutions and data models from scratch * Familiar with the data needs of a mobile app, games or digital business * Familiarity with AWS, related services and/or tools for scheduling jobs Desirables * Experience in developing data pipelines for predictive models * Experience in mobile apps, F2P or subscription business models * Experience using github to collaborate on ETLs or other codebases within a larger data team * Experience developing data sources for Tableau, Looker or similar * Experience integrating third party data sources & APIs * Experience using Terraform to manage infrastructure Benefits * Choice of laptop plus either an iPhone or Google Pixel * Performance related bonus scheme with the opportunity to earn up to 20% of annual salary * A training budget of 1,000 per year to spend on training, conferences and events * 25 days holiday plus bank holidays and your birthday off * Working from home flexibility. We believe in giving people full autonomy in how they want to organise their days * Freedom and support to organise and participate in knowledge exchange events and charity activities * 2 day hackathons every other month to work on personal or group projects * Pension, health insurance and sporting allowance * Relaxed and fun work environment, pool table and PS4 * Breakfast and snacks provided all day along with a fully-stocked drinks fridge

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