Role Overview
Design, build, and productionize innovative data pipelines in the cloud, working on small analytics proof of concepts and larger projects, and helping to shape the future of the company.
What You Will Do
Build innovative data solutions in Python, PySpark & SQL, develop and deploy automated code pipelines, and integrate leading APIs from OpenAI, GCP, Microsoft, and other open source solutions.
Why It Might Be a Fit
You should be passionate about developing industry-first data science and analytics capabilities and have an innovative and creative mindset.
Requirements
- Bachelor’s degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline
- Experience designing, building and maintaining SQL databases (and/or NoSQL)
- Experience with designing efficient physical data models/schemas and developing ETL/ELT scripts
- Strong python and other programming skills (Java and/or Scala desirable)
- Experience developing data solutions in cloud environments such as Azure, AWS or GCP – Azure Databricks & Snowflake experience a bonus
- Strong SQL background
- Some exposure to big data technologies (hadoop, spark, presto, etc.)
Benefits
- Competitive Salary
- Annual Leave: 25 days holiday a year plus bank holidays
- Annual Bonus: Our Annual Bonus is based on company and individual performance
- Generous Pension: You can expect to receive a generous 8% employers’ pension contribution
- Health and Wellbeing: Access our Cycle to Work Scheme and prioritise your health with our comprehensive AXA Private Healthcare Plan and 24/7 Employee Assistance Programme
- Hybrid Working: Split your time between working remotely and from our London HQ
- Growth and Development: Development is at the heart of everything we do. You will be able to create a Personalised Growth Plan and get involved in our internal trainings
- Vibrant Company Culture: Be part of a dynamic company culture with frequent team activities, company events and socials that foster a strong sense of community among our diverse team
To apply for this job please visit linkedin.com.

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