Senior Analytics Engineer
The Role
We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it. You will be an integral part of the Data team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for driving forward our revenue.
- Flexible hours and summer hours
- Hybrid working
- Competitive holiday benefits - 25 days a year paid holiday, plus 8 bank holidays (increases 1 day a year up to 30 days)
- Closed for Christmas holidays
- Work from anywhere for 2 weeks a year
- Life Assurance and Income Protection to protect your loved ones
- Benefits allowance for health, dental, and vision coverage
- Defined Contribution Pension and Salary Sacrifice Scheme
- Be Well: Our award-winning wellbeing and mental health programme to support all MVFers and their families
- Family Forward support for our MVF parents and their mini-mes
- Free breakfast when in the office
- 2 charity days a year
Responsibilities
Ability to communicate technical information to both technical and business audiences
Understand our data landscape and architecture
Design and implement high-performance, reusable, and scalable data models to ensure your internal customers get consistent and reliable answers when running their own analyses
Strong skill set in data modelling
Build and maintain data pipelines
Perform complex data analysis using SQL
Develop and maintain data and coding standards, produce well-documented code with robust testing
Mentor junior team members
Requirements
You are a SQL wizard
ETL/ELT knowledge
DBT
Looker
You know how to use version control effectively (git, bitbucket)
The terminal is your second home!
Demonstrable experience of building data pipelines
Clear ability to prioritise tasks and drive them through to completion
Nice to have
Snowflake
Python experience
Terraform
CI/CD
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