4 days/week at home
A little flex time
Job Description
We are Multiverse, a tech scaleup 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 Facebook, KPMG, Morgan Stanley and the NHS. 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.
The opportunity
As Head of Data Engineering & Infrastructure, you will be responsible for the technologies, people and processes that underpin our data pipeline, which ultimately serves and enables every part of our business. You will be the primary owner of this pipeline, optimising our current approach while also leading the design and implementation of our future data ecosystem.
This role will be within the Data & Insight team, reporting to the VP of Data & Insight. While this is a leadership role and you will manage a small team of Data & Infrastructure Engineers, it will also involve a lot of hands-on work. Our team culture is one where everyone gets involved in development tasks and leaders are expected to develop in-depth knowledge of our business, our data and the systems that underpin them. You will therefore need to be pragmatic, collaborative, innovative and tenacious, balancing hands-on technical development work with people, project & stakeholder management.
What you’ll focus on:
Data Pipeline
Mastering, maintaining & optimising our current data pipeline - owning all underlying infrastructure, connectors, data modelling, transformation logic, database assets & related processes
Iteratively designing, building & migrating towards our future data ecosystem, optimising for security, reliability, availability, performance, usability, accessibility, scalability & cost
Owning & managing our technology stack & architecture - inc Cloud, ETL, Storage, Modelling, APIs - identifying & evaluating new technologies/approaches vs requirements
Integrating key systems - including third party tools and in-house technologies built by Multiverse’s Engineering and Data Science teams - with our data pipeline
Managing ongoing technological and processes change as our data pipeline evolves from its current to future state
Leadership
Being a core member of our Data & Insight leadership team - owning data engineering & infrastructure decisions while also contributing towards broader decisions around data products, analytics, data science, solutions, systems etc
Planning quarterly data engineering & infrastructure roadmap deliverables in line with Data & Insight team strategy and overarching business needs
Coordinating weekly team activity, balancing prioritisation of quarterly roadmap deliverables against urgent tactical needs
Managing & developing a small team (currently ~6 people) of technical specialists
Introducing & recruiting new technical roles as required
Establishing & maintaining solid data governance & secure data practices across the organisation
Collaboration
Understanding Multiverse leaders’ business, functional & technical requirements and translating these into well architected, documented, secure data pipelines
Liaising closely with other leaders within the Data & Insight team (e.g. Product, Analytics, Data Science) - including collaborative prioritisation, resourcing & data product development
Building & maintaining strong relationship with Multiverse's Engineering team (which develops the online Platform used by our customers, candidates & apprentices) - including alignment on technologies, architecture, models, 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:
8+ years of relevant Data Engineering and/or Infrastructure experience
2+ years of relevant people leadership experience
Proven track record of producing high quality data engineering & infrastructure deliverables within a fast paced, high growth environment
Passion for understanding business needs, mastering business logic and translating both into sustainable ETL data pipelines
Good understanding of how to balance strategic vs tactical decisions and when to make appropriate trade-offs
Significant experience with AWS (inc EC2, Lambda, RDS, Fargate), ETL, Git, Continuous Integration/Delivery, Infrastructure as Code (ideally Terraform), Orchestration, Scripting, Containers, Feature Stores, APIs
Experience of integrating with third party systems via APIs and other software interfaces in order to read and write data to/from databases
Exceptional PostgreSQL & data modelling skills
Strong working knowledge of Python, with experience with productionising data science models for use with enterprise applications
Proven ability to inspire, motivate and develop a team of ambitious, high-performing technical specialists
Experience of working in collaborative environments, interfacing with other technical/engineering teams as well as non-technical business partners
Strong verbal & written communication skills, with proven ability to convey complex technical issues clearly & concisely for non-technical audiences
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 using Asana or similar to manage quarterly/ongoing deliverables
Experience with Sagemaker or similar machine learning services
Experience with Tableau and/or Alteryx
Experience with Salesforce and/or Qualtrics APIs
Working knowledge of Elixir and/or PHP
Understanding of education/skills sector
Benefits
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 & remote working - weekly or monthly visits to the London office
You have the opportunity to share in the business’ success (depending on your level)
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.
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.
Company benefits
Working at Multiverse
Company employees
Gender diversity (male:female)
Office locations
Funding levels
Hiring Countries