Data Engineer - Python - Sql - London - Up To £65K

Data Engineer - 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 every day people but also your celebrities across the spectrum.
They were established around the 1980's and have been incredibly successful throughout their journey. Not only have they gained global recognition but they have also massively developed their IT infrastructure and 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 as well as much more.
My client operate on a hybrid working model which is 2 days a week in office and 3 days working from home. They understand the importance of a healthy work life balance but also, the importance of having a connection with the organisation. They also provide career progression plans as well as extensive opportunities to gain industry recognised certifications.

Experience required

• Python & SQL experience is essential
• Extensive experience in pipeline building, ideally using Azure Data Factory
• Background in Data Engineering
• Additional experience of Snowflake is advantageous

This is a great opportunity to join outstanding organisation who pride themselves on being one of the best companies to work for. Interviews are already taking place so don't miss out and apply now!

If this is of an interest then get in touch ASAP. Send across your CV to (url removed) or alternatively, give me a call on (phone number removed).

Keywords: Azure, Azure Data Factory, MS Business Intelligence, MS Power BI, MS SQL Server, Snowflake, Python, SQL, Data Pipeline, Data Modelling, MDM, T-SQL, Data Lake, Logic Apps, Function App, London