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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’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.
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. 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.
Our Data teams are aligned to divisions covering Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and our customers.
We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.
Responsibilities:
* Analyse source data from source databases (PostgreSQL) to understand structures, relationships and semantics.
* Design and implement streaming data pipelines using AWS EMR and PySpark to generate real-time (fast-moving) features for the feature store.
* Develop and maintain batch processing pipelines using DBT and BigQuery to generate batch (slow-moving) features, ensuring data quality, consistency and reliability.
* Collaborate with data scientists, ML engineers and software engineers to identify requirements, define feature schemas and ensure efficient integration into Feast feature store.
Requirements
* Good knowledge of programming languages such as Python or Java.
* Strong experience with streaming technologies (Spark, PySpark, Flink, KSQL or similar) for developing data transformation pipelines.
* Solid understanding and practical experience with SQL and relational databases (PostgreSQL preferred).
* Proficiency with AWS EMR for running and managing Spark workloads.
* Experience in SQL-based transformation workflows, particularly using DBT in BigQuery.
* Experience with Terraform to define and manage cloud infrastructure through code.
* Familiarity with AWS, GCP or other cloud providers.
* Experience with containerisation technologies (Docker, Kubernetes).
* Familiarity with streaming data ingestion technologies (Kafka, Debezium).
* Exposure to feature store concepts and practices (Feast or similar).
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 challenge
* Stage 3 - 60 mins technical interview with two team members
* Stage 4 - 45 min final with two data executives
About Us
You may be put off applying for a role because you don't tick every box. Forget that! While we can’t accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren’t sure if you're 100% there yet, get in touch anyway. We’re on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we’re proud to bring together people of all backgrounds and experiences who love working together to solve problems.
Starling Bank is an equal opportunity employer, and we’re proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.
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