Data Integration Engineer (Python) London / WFH to £120k
Are you a Data technologist with strong Python coding skills?
You could be progressing your career in a senior, hands-on role at a global systematic trading firm.
As a Data Integration Engineer your focus will be on building and managing multiple datasets used extensively on the research and trading platform including automated ETL pipelines to onboard datasets faster, contributing to design and implementation of the data framework, data health, data quality checks and supporting Quants and Traders using the systems.
There are many complex technical challenges, you'll be collaborating with a highly talented to solve problems and push what is possible.
Location / WFH:
You'll join colleagues based in high spec offices with free breakfast and lunch at the onsite restaurant, with flexibility to work from home two days a week.
About you:
You have strong Python coding skills
You have a good understanding of structured and unstructured data
You have experience of building data pipelines and a good knowledge of Data Warehouses / Data Lakes
You have experience of working on low latency trading systems
You're familiar with AWS data technologies
You are degree educated in a relevant discipline
What's in it for you:
As a Data Integration Engineer (Python) you will earn a competitive package:
Salary to £120k
Significant Bonus
Pension
Private Healthcare
25 days holiday
Opportunity to work on Greenfield systems at the cutting
Continual learning and development opportunities
Apply now to find out more about this Data Integration Engineer (Python) opportunity.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
