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Data Engineer

Kolding, Kolding Municipality
8400kr - 9200kr per day
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Data Engineer

Kolding, Denmark

6 Month Contract

1100 DKK Per Hour

As a Data Engineer you will be building and maintaining cloud-based data warehouses for a leading Nordic energy company.

THE COMPANY:

The client is a well-known energy company specialising in renewable energy. As a Data Engineer you will be building and maintaining data architecture as well as implementing best practice across the System & Maintenance Engineering team.

THE ROLE:

As a Data Engineer you will be responsible for the management and provision of data, as well as the standardisation of the data and documentation for the full wind farm asset life cycle. You will be building data architecture and complex data pipelines. You will also be expected to manage the maintenance of the architecture with relevant stakeholders.

YOUR SKILLS AND EXPERIENCE:

The ideal Data Engineer will have:

  • Commercial experience building cloud-based data architecture from scratch
  • Great technical profile in Azure, Python, SQL, Kafka and Hive
  • Commercial experience maintaining data warehouses using CI/CD pipelines
  • Initiate and manage practices with relevant stakeholders, including SCADA and other Engineering disciplines

HOW TO APPLY:

Please submit your CV to Lily Desmond at Harnham via the Apply Now button.

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28374 - LD
Kolding, Kolding Municipality
8400kr - 9200kr per day
  1. Contract
  2. Data Architecture

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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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