Director, Data Engineering & Infrastructure
London, England, United Kingdom
Applications have closed
Multiverse
We're building an outstanding alternative to university and corporate training via professional apprenticeshipsWe are Multiverse, a tech scale-up with a social mission. We’re creating a diverse group of future leaders by building an outstanding alternative to university and corporate training through the power of professional apprenticeships.
We’re one of the fastest-growing businesses in Europe and rapidly expanding in North America, working with over 500 clients including McKinsey & Co, Morgan Stanley, Verizon and Visa. In June 2022, we broke the EdTech funding record (again!) by announcing our $220m Series D, making Multiverse the UK’s first ever EdTech unicorn.
Join us on our journey to democratising access to the best careers and learning opportunities.
Requirements
As Director of Data Engineering & Infrastructure, you will be responsible for the technologies, people and processes that underpin our data & insight pipeline, which ultimately serves and enables every part of our business.
This role will be within the Data & Insight team, reporting to the VP, Data & Insight. You will need to be strategic, innovative, pragmatic, collaborative and tenacious. You will also need to balance hands-on technical work with people leadership and relationship management.
What you’ll focus on:
Technology
- Defining, developing & maintaining our data technology stack (e.g. Cloud, ETL, Storage, Modelling, APIs) - optimising for security, reliability, performance, efficiency, scalability & cost
- Monitoring & reviewing all data technologies/processes to proactively identify opportunities (e.g. automation) & mitigate potential issues (e.g. over-spend)
- Evaluating & implementing new technologies/approaches that will enable us to further scale and evolve our data offering to include more data science, automation & proactivity
Leadership
- Owning & realising our strategy for how technology will enable all aspects of the organisation to be truly data-informed
- Managing & developing our growing team of technical specialists (e.g. Data Engineers, DevOps)
- Introducing & recruiting new technical roles as required (e.g. Machine Learning Ops)
Collaboration
- Liaising closely with Product, Analytics & Data Science leaders within the Data & Insight team - including collaborative prioritisation, resourcing & data product development
- Building & maintaining a symbiotic relationship with Multiverse's Engineering team (which develops the Platform used by our customers, candidates & apprentices) - including alignment on technologies, standards & practices
- Maintaining transparent lines of communication with Multiverse's Information Security & Data Privacy/Protection leaders - ensuring that all data technologies & associated processes are compliant with legal requirements & industry best practice
- Commissioning & overseeing projects/products delivered by external technical partners
What we’re looking for:
Required:
- 10+ years of relevant Data Engineering and/or Infrastructure experience
- 3+ years of relevant people leadership experience
- Proven track record of producing high quality data technology deliverables against ambitious goals and deadlines
- Significant experience with AWS (inc EC2, Lambda, RDS, Fargate), Scripting, Containers (e.g. Docker), PostgreSQL, GitHub, ETL, Continuous Integration/Delivery (e.g. Jenkins), Infrastructure as Code (e.g. Terraform), Feature Stores, APIs
- Experience of successfully productionising data science models for use with enterprise applications
- Proven ability to inspire, motivate and develop a team of ambitious, high-performing technical specialists
- Strong communication skills and demonstrable ability to collaborate with both technical and non-technical colleagues
- Pragmatic, ‘can-do’ approach with a proven record of turning challenges into opportunities
- Meticulous attention to detail
- Commitment to Multiverse’s mission and values
Non-Required (But Desirable):
- Experience with Tableau, Alteryx and/or Sagemaker
- Working knowledge of PHP, Java and/or Python
- Experience with Big Data
- Understanding of education/skills sector
Benefits
What’s in it for you?
- Time off - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days
- Health & wellbeing - private medical Insurance with Bupa, a medical cashback scheme, life insurance, and access to Spill - all in one mental health support
- Hybrid working - weekly visits to the London office
- Equity - every Multiverse has ownership in the business through equity options
- Team fun - weekly socials and regular offsite events
Our commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change.
Right to work
Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.
Safeguarding
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Big Data DevOps Docker EC2 Engineering ETL GitHub Lambda Machine Learning PHP PostgreSQL Privacy Python SageMaker Security Tableau Terraform
Perks/benefits: Career development Health care Insurance Team events
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