Python Developer / Backend Software Engineer (FastAPI SQL Databricks) London to £95k
Salary: GBP80000 – GBP95000 per annum + benefits
What’s in it for you
- Salary to £95k + bonus
- 25 days holiday
- Private Medical Insurance (including dental and optical cashback)
- Life Insurance, Income Protection
- Pension
- Subsidised gym membership
- X4 paid volunteering days per year
- Season ticket loan
- Employee Assistance Programme
- Impactful role with great career progression
Your role
As a Python Developer you will design and develop data‑centric backend services for the core platform with a focus on Python coding and building FastAPIs within an Azure environment with Databricks. You’ll participate in the design and implementation of advanced mechanisms for data ingestion, transformation, mass parallel orchestration of network IO and will model data for a variety of purposes.
You’ll also collaborate with the Infrastructure Team to maintain Infrastructure as Code and develop new features on the engineering platform.
Location / WFH
There’s a hybrid work from home model with three days a week in the high‑spec London, City office with rooftop bar.
About you
- You have strong Python backend software engineering skills
- You have experience of building FastAPIs
- You have a good knowledge of public cloud services, they’re using Azure but experience with AWS or GCP is fine
- You have experience of working with data at scale
- You have strong SQL skills (PostgreSQL, SQL Server – Azure Databricks experience highly preferred)
- You have a thorough knowledge of Computer Science fundamentals including Data Structures, Design Patterns, OOP
- You’re collaborative and pragmatic with great communication skills
We are an equal opportunities employer who welcomes diversity and is committed to a welcoming, inclusive environment. We will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our clients share these values.
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