Senior Data Analytics Engineer (Permanent)

Senior Analytics Engineer – Shoreditch (Hybrid) Are you looking for a role where you can elevate self-serving data capabilities in a company making a real difference in healthcare? Do you want to be part of a mission-driven team revolutionising how healthcare teams communicate, while working in a hybrid setup that values collaboration and flexibility? If you’re an Analytics Engineer with a passion for data modelling and enabling data-informed decisions, this could be the perfect role for you. You’ll receive a salary of up to £100K, alongside benefits including access to a flexible perks platform where you can choose private health insurance, wellness options, and more. You’ll work in a hybrid environment, where you’ll collaborate three days a week in a vibrant Shoreditch office with your team. The office offers free healthy breakfasts, lunches, and snacks, prepared by an in-house chef. You’ll also benefit from a £600 annual development budget, enhanced parental leave, and even a policy that allows you to work abroad for short periods. This is a hands-on position where you’ll maintain the presentation layer of their data warehouse for reporting and analysis, including databases, schemas, views, and tables. You’ll build well-tested, up-to-date, and documented data models that the rest of the company can use to answer their questions. Data Modelling: Building accurate and comprehensive data models for reporting needs. Working closely with Data Analysts and BI specialists to understand their requirements. Optimization: Proactively spotting opportunities to improve the design and performance of our data warehouse presentation layer. Strategy Planning: Supporting long-term data strategy planning and proposing solutions for data access and collection. Data Governance: Setting standards for building and delivering datasets while promoting data governance practices. Data Team Experience: Experience working as part of a data team, preferably in roles such as an Analytics Engineer or Data Engineer. Best Practices: Comfortable adopting data engineering best practices, including version control and using Git. SQL: Proficient in writing SQL that is easy to understand, simple to troubleshoot, and highly performant. Data Modelling: Solid understanding of data modelling best practices and database design. Programming Languages: Strong knowledge of modern programming languages, including Python. Effective communication with stakeholders and a passion for enabling them to access data. Bonus points if you have experience setting up data production environments from scratch, or if you\’ve worked with SQL to Snowflake integrations and Azure. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart. This health-tech company is revolutionising communication in the healthcare sector with a user-centric SaaS platform. Widely adopted in primary care, it is expanding into hospitals, pharmacies, and other healthcare environments. By partnering with healthcare professionals, the company is driving meaningful improvements in how care is delivered. Backed by recent funding, they are scaling their product and entering new areas of healthcare. Initial Chat: Meet with the team for a competency-based interview. # Technical Assessment Pt 1 : Take home Task #