City of London, London, United Kingdom Hybrid / WFH Options
Nigel Frank International
DataEngineer - Python - SQL - London - Up to £65k I'm currently working with an organisation who are globally recognised due to the nature of their work, despite only having a presence within the UK. My client are directly involved and help to organise annual events which attract … platforms to comprise of some of the latest and most exciting technologies on the market. The role will be responsible for engineering my clients data platform which is at the core of their business. You'll be working with a range of data sources, coding in python, integrating data from API's and building pipelines, all within Azure Cloud Services. This is a salaried role which is paying up to £65k and comes with a heap of great benefits. This includes an annual bonus, private medical, discounts on a range of high street shopping brands more »
I'm looking for a DataEngineer with experience working across SQL Server, Python, and ideally some Azure services to join a London-based events organisation. This is a hybrid role, requiring 2 days in the office and 3 days at home per week. You will be … joining their growing Data and Analytics team, who have been re-building and enhancing their Customer Data Platform in partnership with a well-renowned tech consultancy, to deliver better value and insights to various internal teams such as Commercial, Marketing, Digital etc. To do this, you will leverage … SQL, Python, Azure Cloud Services (e.g. Azure Data Factory) and Snowflake (though please note that prior experience with Snowflake is not a requirement). Their front-end reporting is in Power BI, which you may also have the opportunity to get involved in, though this is not a more »
Data Analytics Engineer - Inside IR35 - £600 - 800 Per day I am actively recruiting for an Immediate start Data analytics opportunity in Central London. This is for an international investment banking firm and will require a strong background in business change and transformation focussed expressly around Data analytics and Big data platforms. 5+ years of Big Data Experience utilising Pyspark 5+ years of managing data analytical projects within a financial domain (Banking/Investments) Background within investment managment, financial services, etc. Project management experience, consultancy experience to deal and operate with internal and more »