Job:Data Architect / Data Engineer – world-class science center at DTU Biosustain
1
0
Entering edit mode
2.3 years ago
info ▴ 80

Do you want freedom to perform and major impact locally and at society level?

If you excel within data modelling, data architecture and data engineering, and you are looking for an opportunity to make an impact clearly beyond the average, you have found it. In this unique job, you will not only get the chance to work with a lot of different types of data and metadata and be trusted to find the right way going forward. Your work will be an indispensable foundation for the work of your world-class scientist and subject matter expert colleagues.

At DTU Biosustain we develop the next generation (bio) technology using synthetic biology techniques. We create novel methods and technologies as a foundation for development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc. In other words, we try to solve some of the biggest challenges in the history of mankind, and you will get the chance to add your personal mark to this.

Information and data architecture within Data Warehouse and Data Lake platform You will join a new team and play a pivotal role in taking our data management to the next level. You will make your important contribution via maintenance and further development of information and data architecture related to our existing Data Warehouse and Data Lake platform. Your work will be founded on an agile mindset, where we use a combination of Scrum and Kanban. Your primary tasks will be:

  • Maintenance and development of the implemented data model and data architecture
  • To build ETL and data synchronization pipelines
  • Collaboration with software engineers on ensuring data safety and security while accessing data though internally created software
  • Mentoring of junior software developers and engineers
  • Ensure appropriate data governance across the data storage platform

You can look forward to being part of a leading research and education institution in Europe where on-going development of skills and knowledge is a part of the foundation. You will have great flexibility, as trust and respect are some of the values we build our results on.

3+ years of experience with data modelling, data architecture and data engineering

To succeed, in this position you must be a quick learner with a curious mind for knowledge in and outside your primary field of expertise. Naturally, you love working with data. What makes you stand apart in a positive way is your ability to communicate complex problems in a simple and easy-to-understand way to your partners, that not necessarily have your own expert knowledge. You must also thrive on driving things forward and make decisions, also without knowing the full picture. As you will be part of a centre, where collaboration is a cornerstone, you must also be a teamplayer and like to share knowledge and ideas. Additionally, your CV comprises:

  • A degree in computer science or related field
  • 3+ years of experience with:
  • Data modelling, data architecture and data engineering
  • On-premises and cloud technologies
  • Relational databases (PostgreSQL and/or SQL Server)
  • Programming languages (Python and SQL)
  • Git
  • Docker

Motivation for building skills within

  • Microsoft Azure
  • Full-text indexing and NLP (Elasticsearch or Lucene)
  • Graph databases (Neo4J)

Further information

If you have any questions, you are very welcome to contact Lea Sommer, Head of the Research Data Management group at lemad@biosustain.dtu.dk

If necessary, we will set up an additional phone call to ensure your understanding of the job and your many opportunities.

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark.

Salary and terms of employment

The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.

Application

Please submit your online application no later than 16 January 2022.

Appy online here: Data Architect / Data Engineer – world-class science center.

Open the “Apply online” link - applications must be submitted in English as one PDF file containing all materials to be given consideration including CV, cover letter, diploma and if relevant list of publications.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain)

Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods. Learn more at biosustain.dtu.dk

Technology for people

DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,900 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

PostgreSQL computer SQL science Python • 1.0k views
ADD COMMENT

Login before adding your answer.

Traffic: 2806 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6