Are you passionate about data, engineering, and training, and want to help launch the next generation of data analysts and data scientists in their exciting careers?
We train bright, ambitious individuals for careers in data engineering & data analytics at exceptional organisations. For individuals, we unlock high growth, rewarding careers in data, and for employers, we offer a new talent pool of diverse data analysts and data engineers that have been trained with our experience-driven training model. We exist to break down the financial barriers to aspirational careers and provide individuals with hands-on commercial experience through our Experience Accelerator training programs. iO-Sphere is hiring for a talented Technical Data Engineering Coach to help build and deliver our current Data Experience Accelerator training programs alongside our amazing existing coaching team. You will also help deliver training to our corporate clients and apprenticeships. This role requires at least 2 years of hands-on experience in a real-world data engineering setting to ensure our coaches understand the challenges and demands of the field. You will work primarily on our Engineering track and also support on Data Analytics. This will involve working closely with our amazing trainees - delivering sessions, reviewing work and writing code. Our ethos is that our training is practical, useful, and employer-led, so we focus on real-world projects - building data warehouses, dashbaords, segmentation, CLV, marketing and website optimisation, and forecasting.
Our coaches work as a team to deliver a best-in-class learning experience for our trainees and are responsible for making sure they are workplace-ready by the time they graduate from the program. To be successful in this role, you will need to be passionate about teaching, coaching, and training because you will be working constantly with our bright, ambitious trainees. This will involve helping with their technical questions across our tech stack.
This is a unique opportunity for an ambitious person who wants to join an exciting start-up and use their data experience in new and different ways. As a start-up, there are also lots of opportunities to get involved in other projects!
Location: London iO-Sphere is headquartered in London, and the role is hybrid, delivering in-person training on Mondays, Thursdays, and Fridays most weeks. When you're not scheduled for in-person training, you're free to work remotely. We are also open to part time and flexible arrangements however all London based roles require in-person delivery.
Salary Range: £50k-60k plus bonus. At iO-Sphere we value diversity, and we know we get the best learning outcomes when we have people from all different backgrounds. Collaborative - able to work in and lead a team, ask for help when they need it, and give help to others when needed.
Driven and ambitious – we have exciting plans for iO-Sphere and are looking for someone to help us achieve them!
Trainee-centric – this role will live and breathe the trainee experience. Work with the coaching team to deliver the iO-Sphere Data Experience Accelerator, Apprenticeships, and Corporate Training. This involves 25-30 hours of student facing training per week across a mix of different formats and styles
Support in managing our data infrastructure and cloud services, as well as help in building and developing our technical curriculum
This might be leading sessions on soft skills and business context, technical sessions such as code-alongs and technical walkthroughs of projects, presenting to large and small groups, or facilitating breakout sessions
Review student submissions to provide detailed feedback on code, presentations, and data analysis, ensuring each trainee is fully prepared for the workplace
Ensure the quality of the student-experience is top notch and that our students leave ready to take on exciting careers in data
Provide a fair assessment of each of the students on their performance within the course
Work with the career services team to help select the right trainees for the right employment opportunities
Minimum 2+ years of commercial experience in a data role. Fluent in SQL and experience in at least one programmatic language (preferably Python)
Fluent in written and spoken English
Experience in guiding data projects from concept to impactful insights and actionable recommendations
Experience facilitating teaching, training, and/or coaching sessions for groups of learners, or the desire to learn.