(SENIOR) DATA ENGINEER ROLE PROFILEHush is an ambitious and distinctive fashion brand, with plans to double the business over the next few years. Founded 20 years ago, we are now established as one of the UK’s leading online fashion retailers. We employ around 130 employees across head office and retail, creating and selling a beautiful range of women’s clothing and accessories characterised by effortlessness, simplicity and a laidback sense of style. Despite the challenges to the retail industry, Hush has continued grow – and our company culture still reflects our entrepreneurial roots and relaxed aesthetic. We love hard-working and talented people with a can-do attitude and a passion for what they do.THE ROLEThis is an integral role in both our Technology team and wider business; the role holder will help Hush to develop, maintain and draw insights from our business intelligence solutions consisting of Google Big Query (Data warehouse), Domo/Superset (Visualisations), Snaplogic (ELT) and DBT (Modelling). Your days will be varied including challenging the status quo, preparing ad-hoc analysis, supporting business users in self-serve operations mode and actively championing data-science use and robust data analysis across the organisation. THE RESPONSIBILITIESCollaborate with the business to prioritise and define data requirements into agreed priorities.Ensuring stable running of the data environment from a security and performance perspective.Support external partners and business with data to drive business initiatives.Utilise SQL to create and maintain reporting data models for use in BI reporting.Help non-technical end users adopt a self-service mindset to reporting and providing guidance and best practise where necessary.Review data produced, analyse and provide actionable insights and opinion on data. Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data.THE PERSONStrong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress.Strong SQL and data modelling skills.Knowledge of at least one other programming language eg Python.Comprehensive technical experience in data warehousing, ETL and BI reporting technologies.Experience working with and administrating a modern BI platform, such as Looker, Qlik, Domo, Superset or Power BI.Analytical skills; ability to review and advise on data extracted.We are committed to fostering diversity, equity and inclusion in everything we do.