Analytics Engineer
Southampton, England, United Kingdom
Starling Bank
Transform the way you manage your money with Starling Bank. Enjoy personal and business banking online and at your fingertips, always. Apply in minutes.Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.
We are about giving customers a new way to spend, save and manage their money while taking better care of the planet which has seen us become a multi-award winning bank that now employs over 2800 across five offices in London, Cardiff, Dublin, Southampton, and Manchester. Our journey started in 2014, and since then we have surpassed 3.5 million accounts (and four account types!) with 350,000 business customers. We are a fully licensed UK bank but at the heart, we are a tech first company, enabling our platform to deliver brilliant products.
Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!
The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
Hybrid Working
We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.
Responsibilities:
- Building out our reporting (to third parties) capabilities via data pipelines and data marts
- Improving our existing data warehouse setup by getting into the depths of the source code (SQL or even Java if they're so inclined)
- Working with engineers to understand where potential changes could occur at source and translating these into more robust data models
- Developing understanding of data across business areas due to the domain agnostic nature of the reports
Requirements
- Strong experience with SQL
- Strong experience with dbt or a desire to learn
- Strong communication and stakeholder management skills.
- Experience in creating metrics and dashboards geared towards drawing actionable insights about performance
- Experience supporting and working with cross-functional teams in a dynamic environment
Nice to haves:
- Strong experience with Looker or a similar Business Intelligence (BI) tool
- Experience with data architecture and building data models which follow the principles of dimensional modelling
- Experience coding in Java or Python
Interview Process
Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:
- Stage 1 - 30 mins with one of the team
- Stage 2 - Take home test
- Stage 3 - 60 mins technical interview with two team members
- Stage 4 - 45 min final with an executive and a member of the people team
Benefits
• 33 days holiday (including flexible bank holidays)
• An extra day’s holiday for your birthday
• 16 hours paid volunteering time a year
• Part-time and/or flexible hours available for most roles
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary
• Hybrid/remote working
• Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
• Generous family-friendly policies
• Varied social groups set up and run by our employees
• Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
• Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Banking Business Intelligence Data pipelines Data warehouse dbt FinTech Java Looker Pipelines Python SQL
Perks/benefits: Fitness / gym Flex hours Flex vacation Health care Home office stipend Wellness
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