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You are an experienced data engineer who would like to join our journey to build the brand of the future within fintech. You have a high level of analytical capability and a solid understanding of databases and development.The cool things you will do with usOur ambition is to create a marketing and credit scoring machine powered by data. Today we have a number of models and algorithms which we aim to further develop.Your task will be to create the technical infrastructure to perform analysis and create models. You will build our next data-lake and/or data-warehouse, pipelines and live dashboards. You will help the business gather, store, analyse, slice-and-dice data that is important to understand what we do and take decisions upon. You will define Lendifys data infrastructure and decide what technology to use.QualificationsEarned a degree in computer science, mathematics, statistics, physics or related areaExperience designing and implementing data lakes and/or data warehouses as well as ETLSolid understanding of databases (SQL/NoSQL) and data analytics tools such as R, Python, Spark or any other tools you preferKnowledge within Microsoft StackExperience with BI tools (Power BI, Google Analytics, you name it!) is a plus.What you will getWorking for one of the hottest 100 Fintech startups globally (according to KPMG) with a great team in an entrepreneurial environmentHave a major impact in changing an entire industryRunning and fitness training 2 times a week (Not mandatory! You don't have to be a fitness geek to work here, we promise)Health benefits, pension plan, etc.Great offices in central Stockholm