Senior Analytics Engineer

Senior Analytics Engineer Apply here Who you’ll be joining We’re problem solvers at heart. Sometimes the answer is technology, sometimes it is strategy, and sometimes it is a strong cup of tea and a bit of thoughtful conversation. Whatever it takes, we work it out with our clients. We’re an IT consultancy that helps organisations get the best out of their technology. That means keeping them secure and keeping the bad guys out, making sure everything works and is easy to use, and doing smart things with data and software to give their business an edge. It is important work, and we care about doing it well and for the right reasons. Life at Waterstons is friendly, flexible and built on trust. We hire people who are curious, thoughtful and good at getting to the heart of a problem. You get support, trust and room to grow in a place that still feels human. The unlimited holidays and private healthcare are a nice touch, although most people stay because it feels like the right place to do good work with good people. What You’ll Be Doing You'll be working with our customers to understand their needs, then using tools like Databricks, Fabric and Power BI solutions to meet those requirements. You'll be working with junior colleagues as a manager and mentor, helping them to grow in line with Waterstons' values. Your Day-to-Day Working in Fabric or Databricks to build out the medallion architecture Helping junior members of the team troubleshoot problems Having 1:1s with your team Attending calls with clients to understand their requirements and help solve problems What we're looking for If some (or most) of the following sound like you, we'd love to hear from you: More than 3 years experience working in Analytics Engineering Experience of leading projects and setting scope, budget and timeframes Leading others, either through line management or through technical leadership and mentorship Holds or has held relevant Microsoft Certifications Proficient in SQL and DAX Knowledge of modern data architectures Experience of working with Power BI and Fabric Experience with Dimensional Modelling Good time management, prioritisation and an ability to manage workload Excellent at building relationships with clients and colleagues, with a desire to help others grow via mentoring of junior colleagues Comfortable working as part of a team Curious about our clients, their businesses and how they work; with a willingness and ability to travel to client sites Nice to have Experience of working in a consultancy environment Experience of working in one of our core sectors; including but not limited to Higher Education, Social Housing, Manufacturing, Energy, AEC, Private Equity or Transport and Logistics Holds relevant Databricks certifications Experience of working with Databricks, Azure, AWS and DevOps How We Take Care of You As well as offering a competitive salary, we have an attractive benefits package including: A healthy work life balance with flexible and agile working being the norm Unlimited holiday allowance EV car scheme (salary sacrifice) Room to grow with supported development opportunities and sponsored training Enhanced family policies If you ever need it, company sick pay and life assurance Supported wellbeing with regular initiatives, an employee assistance programme and private medical insurance Flexible benefits such as a dental scheme, eye care support, season ticket loan and cycle to work We require a security check to be carried out on all colleagues due to the nature of some of our clients’ industries. Waterstons is committed to creating and an inclusive, understanding, and flexible place to work. We value diversity, equality and inclusion and encourage everyone to 'bring their whole selves' to work. We believe that a company that works to truly embrace and value diversity, create an environment where everyone from any background can do their best work, and feel valued and appreciated is a better company to work for. Privacy Statement Waterstons are gathering the data in this application for the purpose of recruitment and to ensure we can contact you regarding this application. For information about what we do with your personal data see our Privacy Notice. Department Data & AI Locations Durham, England, United Kingdom, Glasgow, Scotland, United Kingdom Remote status Hybrid Yearly salary £51,500 - £66,000 Employment type Full-time Job Type Experienced Role