Data Engineer building cloud-native Warehouse and Machine Learning platforms for Starling Bank. Improving tooling in AWS and GCP while collaborating with diverse teams.
Responsibilities
Building out cloud-native Warehouse and Machine Learning platforms
Improve existing and implement new tooling in and between AWS and GCP
Requirements
Good knowledge of programming languages such as Python or Java.
Solid understanding and practical experience with Kubernetes (Operators, Helm, etc)
Proficiency with either AWS or GCP
Experience with Terraform to define and manage cloud infrastructure through code
Good practical experience with SQL and relational databases (PostgreSQL preferred)
Desirables:
Experience in SQL-based transformation workflows, particularly using DBT in BigQuery
Familiarity with streaming data ingestion technologies (Kafka, Debezium)
Exposure to Data management and Linux administration
Benefits
25 days holiday (plus take your public holiday allowance whenever works best for you)
An extra day’s holiday for your birthday
Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
16 hours paid volunteering time a year
Salary sacrifice, company enhanced pension scheme
Life insurance at 4x your salary & group income protection
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
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
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