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.
As a Data Engineer, you will be responsible for building and maintaining our Data Analytics and Insight Platform. This will cover building and automating data pipelines in AWS and optimising the flow of data from multiple source systems to its consumers.
The role will be within the Data & Insight team reporting to the Director of Data Engineering and Infrastructure. You will need to be methodical, analytical, creative and collaborative, with very high attention to detail. You will take a DataOps approach to working with data.
What you will focus on:
Data Pipeline and Automation
Designing, building, monitoring and debugging robust data solutions that serve the analytical needs of the business
Working with external partners to build seamless ETL/ELT data pipelines
Building and maintaining a Python toolkit to abstract away complexity in code
Optimisation of data pipelines to be cost efficient and performant
Building/maintaining/using monitoring/alerting tools to identify performance bottlenecks
Assisting our Data Scientists in building out AI/ML pipelines (MLOps)
Database Administration and Development
Being an administrator for our data solutions, managing users, permissions and version control
Designing, implementing and enforcing data governance for our deployments
Cloud Computing Administration and Optimisation
Helping to maintain our AWS infrastructure and keep it optimally running
Monitoring cloud computing performance and optimise configurations as needed
Data Warehouse Development
Collaborating and building an optimal data store to feed our data visualisation in Tableau
Building optimal data structures (such as Kimball or Inmon approaches)
Designing and implementing a suitable index strategy for high performance data
Building canonical data solutions for internal data consumption
2+ years of experience with Python for building data pipelines
2+ years of building and optimising complex SQL statements via PostgreSQL or similar
2+ years of experience with AWS and AWS tools for data (Lambda, RDS, S3, Glue, Athena and Redshift for example)
Proven track record of producing high quality and robust data pipeline deliverables
Experience with CI/CD (GitHub) for data
Experience with writing automated tests for both Python and SQL based solutions
Experience of working with various data file types (CSV, JSON, XML, Avro and Parquet for example)
Meticulous attention to detail
Commitment to Multiverse’s mission and values
Experience with Tableau (Desktop/Server) and/or Alteryx
Experience using Infrastructure as Code (Terraform)
Experience working in an Agile environment
Working knowledge of talent/admissions or education/skills sector
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
Equity - every Multiverse employee 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. You can read more about our commitment DEI here.
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.
We asked employees of Multiverse how satisfied they were with flexible working, and this is what they told us
Working at Multiverse
Gender diversity (male:female)
London, New York & Remote