Flexa
Multiverse • Remote (UK)

Data Engineer, UK

Employment type:  Full time

3–4 days/week at home

A little flex time

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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 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

Requirements

Required:

  • 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

Desirable:

  • 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

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

  • 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.

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

Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Work from anywhere scheme
27 days annual leave + bank holidays
Enhanced sick pay
Pregnancy loss leave
M-powered days - Company wide wellbeing days where the whole company shuts down once per quarter.

We asked employees of Multiverse how satisfied they were with flexible working, and this is what they told us

Location
88%
Employees are very happy with their working location freedom
Hours
75%
Employees are largely happy with the flexibility in the hours they work
Benefits
75%
Employees are largely happy with the benefits their company offers
Work-life balance
62%
Employees feel that they can switch off quite easily from work
Role modelling
69%
Employees feel that most people work flexibly
Autonomy
83%
Employees feel they have complete autonomy over getting their work done
Working at Multiverse

Company employees

750

Gender diversity (male:female)

45/55

Office locations

London, New York & Remote

Funding levels

$414M

Hiring Countries

United Kingdom
United States
What employees are saying

Especially since our work spans many time zones (US West Coast to UK) there's a lot of flexibility since there are different folks that work together at different times. I can plan early days for when I need to connect with folks that are ahead of me (time zone-wise) or later on days that I'm working with US folks and doing heads-down work. I appreciate that my leaders know that I will get my work done and if I need to go to appointments or take time mid-day, that is supported.

Multiverse Employee

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