Senior Analytics Engineer

hackajob is collaborating with Moneybox to connect them with exceptional professionals for this role.

About Moneybox

At Moneybox, our mission is to give everyone the means to get more out of life. We’re guided by our belief that wealth isn’t about the money, it’s about the means to more – more freedom, opportunities, possibilities, and peace of mind. Moneybox is an award-winning wealth management platform, helping over one and a half million people build wealth throughout their lives, whether they’re saving and investing, buying their first home, or planning for retirement.

Job Brief

The Data and Insights team span everything from analytics engineering to reporting, insight analysis, decisioning, data science and machine learning. Helping everyone at Moneybox to understand what our customers are doing, how they are interacting with the app, which products they are using and what is important to them - this team ensures that we are equipped to deliver on our mission to help customers.

What you'll do

Design, build and maintain our automated data systems, to create analysis-ready datasets and sources of truth

Architect and develop our data outputs at increasing scale, taking ownership over datasets and processes

Collaborate with analysts and the wider business to understand their needs, and to define, design and ship new analytics features

Help maintain code quality and organisation

Promote the benefits of analytics engineering practices among the wider Insight Team

Continuously look for ways to improve how we do Analytics Engineering at Moneybox

Who you are

Genuinely interested in Moneybox and the services we offer

Excited about being part of a fast growing company that’s trying to make a positive mark on the world by helping everyone to reach their financial goals

Excited about using data to answer questions, and particularly interested in the technical side of how to do this at increasing scale

Loves to build tools and systems that make your teammates’ jobs easier

Somebody who thrives in a fast-paced startup environment

Interested in all areas of the business and enjoys hearing about what other team members are working on

Genuine interest in financial technology

Constantly looking to improve in all areas that you can affect

Skills & Experience (Essential)

3-5+ years experience in an analytics engineering (or similar) role within a mature data team

Experience handling large data sets (billions of rows) and optimising performance of data transformations

Experience delivering insight to stakeholders directly or significant experience working closely with data analysts

Experience with SQL (ideally within a modern data platform e.g. Databricks, Snowflake, BigQuery)

Experience with automating data processes

Experience with dbt (Cloud or Core)

Experience with Python

Familiarity with delivering data for use in BI platforms

Experience with Git for writing, storing and collaborating on production level code

Skills & Experience (Desirable)

Financial Services industry experience

Experience with semantic modelling

Experience with the principles of modelling data warehouses (Gold, Silver, Bronze table structure, Kimball modelling etc)

Experience working in a medium/large data team (20+)

Applied knowledge of analytics engineering best practices and methodologies

Experience with dbt Core

Experience building and maintaining testing and deployment pipelines for data warehouses

Experience with Azure Databricks

Experience with PySpark

Experience with streaming data transformation

Experience collaborating with ML engineers

What’s in it for you?

Opportunity to join a fast-growing, award-winning and super ambitious company

Work with a friendly team of highly motivated individuals

Be in an environment where you are listened to and can actually have an impact

Thriving collaborative and inclusive company culture

Company pension scheme

Company bonus scheme

Hybrid working environment

Home office furniture allowance

Personal Annual Learning and Development budget

Private Medical Insurance

Health Cash Plan – cashback on everyday healthcare like dental and opticians

Cycle to work scheme – spread the cost of a new bike and accessories

CycleSaver – save on bike-share subscriptions and have a more sustainable commute

Wellhub subscription to a variety of gyms and wellbeing apps

Enhanced parental pay & leave

25 days holiday + bank holidays with additional days added with length of service.

Our office is in London, by the Oxo Tower