We've partnered with an exciting start-up organisation which is looking to hire for a top-quality Data Engineer to become part of their founding team. Their mission is to put the human element back into advertising - treating consumers as people. They've built bespoke datasets/products for some of the largest names in branding & advertising, and have partnered with some of the biggest names in social media. The next step in their evolution is to build a foundational product which they can use to successfully scale, at speed. This role will involve building pipelines, infrastructure & contributing to analytical efforts. This is a great opportunity for: Data Engineers with 1/2 years' experience that want to join a highly dynamic start-up team at the start of the next phase of their journey Data Engineers that want to SEE the tangible impact of their work. You are a core part of what this business is building and will have a full view on what your work is creating Data Engineers that want to own a share in the success of an organisation driven by great ideas & passionate founders We're looking for: Data Engineers w/ 1/2 years' experience working with Python + associated data libraries (e.g. pandas, numpy, scikit-learn) Experience working with relational databases such as SQL A proactive and positive attitude. Someone that can demonstrably showcase their ability to work under their own steam when required. There's research that demonstrates some candidates are less likely to apply for a role unless they meet 100% of the criteria. If you hit less than 100% of this criteria, but love the sound of the company's mission then we want to hear from you! Technology Stack: Python Spark SQL Snowflake Athena AWS This is a 100% remote role, however they have WeWork spaces available across the country, and regularly meet up in London for social events This role is paying between 50k - 60k per annum, with an accompanying options scheme so that you can be a part of the company's success If this sounds like it could be one for you, then please apply now!