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Data Architect

  • Job type: Permanent
  • Location: Düsseldorf, Nordrhein-Westfalen
  • Salary: Negotiable
  • Job reference: 419813/002_1559746993
  • Sector: BI & Big Data, Glocomms
  • Date posted: 05/06/2019

In an industry where Data is becoming more and more important in today's world of saving the latest energy problems.

Be a Data Architect Team Leader In a digital paradise in the Energy industry.

The Job?

  • From day one, you are expected to drive diverse and challenging projects as the project leader and manager.

  • In this job, you'll be doing it in projects that cross functions, teams and international regions. From finance to marketing, to innovation. You'll learn about tonnes of different domains across the value chain in Energy.

  • You will be working on workable solutions and implement them, creating added value for our customers.

  • And you'll be doing all of this on high-impact cases within the business.

On top of that, you'll be building and leading your own team

  • Ensuring successful projects that deliver real business transformation. And leading the company towards smart decision making and strategic use of data.

The environment?

  • A range of training and development opportunities as well as coaching and mentoring. It also has C-Suite approval to be as close to an academic research environment as possible.

  • The Company values data and are investing heavily.

  • You are critical to the long term business transformation they are committed to.

Your Team?

  • You'll be working in a talented team with some seriously smart people.

  • The fact they have a C-level Data professional tells you how seriously they take it.

The Company?

  • Known energy provider in Germany.

  • Value work-life balance

  • Shaping the future of the world

That's why they offer benefits like:

  • Flexible working hours

  • Ability to work from home or work in Dusseldorf office

  • Annual Bonus Scheme and incentives

Minimum Qualification Criteria

To be considered for this job you must have:

  • Strong related University degree.

  • Minimum 2 years Industry experience in IT.

  • Practical experience in technologies such as Kafka, Storm, Hadoop, Hive, Spark, HBase, etc.

  • Strategic thinking in the context of data platforms, product roadmaps, etc.

  • Experience with implementing big data projects in Azure OR AWS)

Get in touch.

I'll tell you anything else you want to know.

Christina.

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