# Data Engineer Tutor## Job Introduction**Data Engineer Tutor**Here at BPP Education Group, an opportunity within School of Technology has arisen for an experienced and methodical individual to join the team as a Data Engineer Tutor. You will be responsible for delivering high-quality teaching and learning at undergraduate and postgraduate levels, that reflect the current skills and capability requirements of corporate employers. Tutors must have significant professional in their discipline, as well as the enthusiasm to pass their passion for their specialist area on to students, learners, clients and peers. It is a great time to join BPP Education Group as we have enjoyed a sustained period of growth, offering a wealth of opportunities to our staff, students and clients. There are many more great reasons to join BPP Education Group such as:* Brilliantly, you can study any of BPP’s courses for free – be it a professional qualification or full degree.* With hybrid working available, you’ll be able to split your time between one of our centres and wherever you choose to call home.* We also provide a generous annual leave entitlement of 30 days, and there’s a rewards package that includes retail discounts and much more.Other key benefits include our Group Personal Pension Plan, dedicated private healthcare and dental plans that offer additional assurance to look after you and your family**What you’ll be doing**The BPP School of Technology is recruiting a Data Engineer professional and Tutor to support the teaching of the Level 5 Data Engineering programme, predominantly online. We are looking for practitioners with a keen sense of the corporate context, who are excited by the prospect of using their professional expertise to develop careers through higher education.For this role, we are interested in hearing from practitioners with teaching experience in higher education, who can teach a range of subjects across our apprenticeship programmes, but also those that may not come from a teaching background and wish to get into higher education.We are particularly looking for individuals with experience and expertise to support in the following areas:* Data Engineering* Python Programming & Command Line Scripting* Networking & Cyber Security* Cloud Engineering* Production EnvironmentAs such, you will be responsible for:Tutors could be asked to undertake variety of duties including curriculum and content design, assessment development, marking, supervision, student cohort management, as well as teaching. Teaching of our apprenticeship provision is mostly delivered online via the Adobe Connect platform. Our teaching hours are predominantly Monday – Friday (9.00am – 5.00pm). **What we’re looking for**To be successful in this role you will need to have a proven track record in the following areas:**Experience, Skills & Qualifications required - Essential**| | || --- | --- || **Experience** | Relevant professional experience in industry. || **Qualifications** | Industry experience working in a Data Engineering role or similar || **Development** | * For those not currently holding either a teaching qualification or a Fellowship of the HEA membership, a commitment to achieving these through BPP's PGCLT or HEA scheme is essential. * A commitment to engage with our Learning and Teaching CPD resources. || **Skills** | * Excellent command of the English language; + Excellent written and verbal communication skills; * Excellent presentation skills; + The ability to plan, organise and prioritise workload; * The ability to work well in a team and be collaborative; * Commerciality; * Digital literacy; * Self-motivation. * Act on feedback. || **Tools** | * Python (inc. Pandas, requests, pytest, kafka-python) * SQL * Cloud Engineering (currently we teach on AWS but a good understanding of any CSPs is okay). * Git * Bash || **Values** | * Everybody Matters * Trust and Respect * Stronger Together * Embrace Change * Student, Learner and Client Centric. |**Skills, experience & qualifications required - Desirable**| | || --- | --- || **Experience** | * Experience teaching online. * Experience using Adobe Connect. * Relevant academic experience working in Higher Education || **Qualifications** | * A Level 6/7 or equivalent qualification is preferred (as you may teach at a degree level too) * Other industry related professional accreditations and/or certifications. || **Skills/Tools** | * Apache Kafka * Cyber security * Networking * Machine Learning * Streaming services (e.g. Red Panda, Confluent) * DevOps * Software Engineering |**Please note** that the successful candidate will be required to undergo an Enhanced DBS check. *BPP Education Group are proud to be a Disability Confident employer so if you need any reasonable adjustments for the interview process, please just let us know!**BPP Education Group actively promotes equality of opportunity for all with the right mix of talent, skills and potential, and welcomes applications from a wide range of candidates. BPP will select candidates for interview based on their skills, qualifications and experience. Please note that for those posts that are exempt from the Rehabilitation of Offenders Act 1974, the successful candidate will be required to undertake a DBS check in addition to BPP undertaking any necessary online searches. This is deemed appropriate and necessary from a safeguarding perspective, and in line with BPP’s safer recruitment practices****BPP Education Group reserves the right to amend or withdraw this advertisement at any time prior to the closing date, should we receive a high volume of applications or if business needs change.***The following content displays a map of the job's location.| OpenStreetMap contributors### Data Engineer Tutor* **Salary** from £70,000* **Frequency** Annual* **Job Reference** bppuniversity/TP/5264/893* **Contract Type** Permanent* **Closing Date** 18 October, 2025* **Job Category** Tutor* **Business Unit** School of Technology* **Location** Home based, United Kingdom* **Posted on** 18 September, 2025
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- Location:
- United Kingdom
- Job Type:
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FullTime
- Category:
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IT & Technology