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£120,000 + bonus + benefits
Investment Bank
City, London
We have an opportunity for an experienced KDB Engineer to join the Data Analytics team in a mid-tier investment bank, offering all the perks and stability of a large IB environment, with a small team size that allows for a broad range of business and technology exposure, as well as the opportunity to have a genuine impact on the trading business.
In this role you will be working with traders, quants and structurers to provide data and analytics solutions across the global commodities markets.
As well as working largely with kdb/q, shell scripting and AWS, you will get great exposure with Python and other technologies such as Airflow, Grafana, Prometheus, CI/CD platforms (Bamboo, Argo CD) and vendor platforms such as Dataiku and Alation.
This is a great opportunity to move from a large banking environment to a small, highly visible unit with a large roadmap of work. There’s plenty of opportunity to gain a broad range of technology exposure – if you’re a keen self-learner this is a great environment to help with your development.
Contact Ian Bailey at Harrington Starr for full details
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KDB/q Engineer
| Job title: | KDB/q Engineer |
| Location: | London |
| Industry: | Data |
| Salary: | £100,000 - £120,000 |
| Reference: | 16972 |
| Contact name: | Ian Bailey |
| Job published: | February 08, 2023 |
Job description
KDB/q Engineer£120,000 + bonus + benefits
Investment Bank
City, London
We have an opportunity for an experienced KDB Engineer to join the Data Analytics team in a mid-tier investment bank, offering all the perks and stability of a large IB environment, with a small team size that allows for a broad range of business and technology exposure, as well as the opportunity to have a genuine impact on the trading business.
In this role you will be working with traders, quants and structurers to provide data and analytics solutions across the global commodities markets.
As well as working largely with kdb/q, shell scripting and AWS, you will get great exposure with Python and other technologies such as Airflow, Grafana, Prometheus, CI/CD platforms (Bamboo, Argo CD) and vendor platforms such as Dataiku and Alation.
This is a great opportunity to move from a large banking environment to a small, highly visible unit with a large roadmap of work. There’s plenty of opportunity to gain a broad range of technology exposure – if you’re a keen self-learner this is a great environment to help with your development.
Contact Ian Bailey at Harrington Starr for full details
