We’re on a mission to create a diverse group of future leaders. We do that through professional apprenticeships because we believe learning on-the-job creates a more equitable and successful path to careers. We find, train and support talented individuals, wherever they are in their career journey, and equip them with the in-demand tech, software engineering, and data skills to transform their careers and deliver a better route to growth for their employers.

We’ve had some big achievements. We hit 10,000 apprentices in our community - and counting. We launched one of the largest data apprenticeship programs in the UK with Jaguar Land Rover, and we’ve partnered with companies like Mars, Verizon and CitiBank. Not to forget becoming a mission-driven EdTech unicorn after our $220m Series D.

But we aren’t stopping here. Join Multiverse and build the future of learning at work.

What we need:

As a Senior Analytics Engineer, you will be responsible for building and maintaining the data sources that underpin our analytics tools and data science models. This will primarily involve building and automating data transformation pipelines in dbt, but could also cover a wide range of other data engineering activities.

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.

What you will focus on:

Data Modelling & Transformation

• Lead the design, implementation, and optimisation of dbt models, streamlining schemas, transformations, and documentation in order to scale data operations effectively

• Defining, implementing and maintaining canonical upstream data models (e.g. Kimball, Inmon) that enable a wide range of downstream use-cases

• Working closely with our Analytics and Data Science teams to understand their requirements, and ensuring that our data model designs satisfy these use cases

• Reviewing the proposed data architecture of new products being developed by our Technology team to ensure that they will provide the necessary data to meet our requirements

dbt Expertise and Mentoring

• Defining and implementing best practice usage of dbt, and ensuring that this is adopted throughout our team and codebase

• Being a subject-matter expert within the Data Engineering team on dbt, and using this knowledge to improve the skillset and performance of other team members

• Developing a testing-first culture in the team to ensure that Data Quality is both monitored and improved through our pipelines

Data Pipeline Automation and Administration

• Developing a flexible and scalable approach to data processing through dbt job definitions and scheduling

• Enhancing our deployment CI/CD pipelines to optimise our developer experience and streamline our development processes, while maintaining the quality of our deployed code

• Monitoring our dbt job executions and ensuring that errors are tracked and resolved inline with agreed SLAs

• Collaborating with other Data Engineers to define the requirements for data source ingestion pipelines

• Ensuring that our dbt deployments satisfy the data access controls of the business, and that data access is managed securely

What we’re looking for:

Required

• 4+ years of building and optimising complex PostgreSQL

• Strong experience working with dbt for analytics use-cases

• Experience with CI/CD (GitHub) for data

• Experience with writing and leveraging automated tests in dbt

• Proven track record of producing high quality and robust data deliverables

• Meticulous attention to detail

• Commitment to Multiverse’s mission and values

Desirable

• Experience with AWS services - e.g. RDS, S3, Lambda, ECS

• Working knowledge of Python

• Experience of working with various data file types (e.g. CSV, JSON, XML, Avro and Parquet for example)

• 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 & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support

• Hybrid & remote work offering - with weekly or monthly visits to the London office and the opportunity to work abroad 45 days a year

• Team fun - weekly socials, company wide events and office snacks!

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.