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Azure Data Engineer

London
£400 - £500 per day

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AZURE DATA ENGINEER
£400-£500 PER DAY
3 MONTH CONTRACT
REMOTE/LONDON BASED

As a Data Engineer you will have the chance to work for a health care consultancy using Python and Spark on an Azure platform.

THE COMPANY:

As a Data Engineer, you will be working for a health care consultancy who are a front-runner within the space. You will be working alongside other Data Engineers and Data Scientists in a fast paced environment.

THE ROLE:

As a Data Engineer, you will you will be heavily involved in ETL development using Python. Therefore as a Data Engineer you must be extremely skilled in Python. You must also have good experience with Spark for streaming. You must be very knowledgeable on Azure and have good experience with Azure Data Factory and ideally Databricks. The ideal candidate will come from a Software background.

YOUR SKILLS AND EXPERIENCE:

The successful Data Engineer will have the following skills and experience:

  • Extensive experience with Python
  • Good use of Spark, Databricks is a bonus
  • Good knowledge of Azure as a data platform; Azure Data Factory

THE BENEFITS:

  • A chance to work on important projects

HOW TO APPLY:

Please register your interest by sending your CV to Anna Greenhill via the Apply link on this page.

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92149/AG
London
£400 - £500 per day
  1. Contract
  2. Big Data

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How Are Data & Analytics Professionals Mapping COVID Trends With Data?

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Amy Topcakan

Amy Topcakan

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Using Data Ethically To Guide Digital Transformation

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Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. 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