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Descripción de la oferta de empleo

At group.one, we process over 100 TB of data daily – DNS records, visits to websites, purchases in web shops, and much more. We are seeking a Data Engineer to help us to build a modern data stack for group.one. We want to leverage the vast amounts of data that we collect to make better decisions around the company. As a Data Engineer, you will be a central player in the group's data organisation and given the responsibility to maintain and further develop our data platform. 



What you will be working on 

As a Data Engineer you will be responsible for maintaining and building flows from various data sources, such as Hadoop, PostgreSQL, BigQuery, to our Snowflake data warehouse. You will also have the responsibility to build and maintain the data modelling of the group’s analytical stack. You will work closely with the data team and a range of other stakeholders to develop data models and pipelines for research, reporting and machine learning. 



Development and maintenance of pipelines 

  1. Build, maintain and monitor pipelines, including scripting, scheduling and CI/CD
  2. Introduce new data sources and align them to prevalent structures and architectures
  3. Identify opportunities for internal and external data acquisition
  4. Ensure compliance with group.one GDPR practices
  5. Support machine learning initiatives by designing pipelines and performing basic feature engineering



Data architecture and modelling 

  1. Further develop the group.one-aligned customer model used across all brands
  2. Continuously improve and measure the efficiency of our code
  3. Support continuous development of overall approaches and tools used 



Data Documentation and discovery

  1. Provide documentation on data sources, best practices as well as anonymisation methods
  2. Provide documentation and version control of relevant code 



We offer

  • A chance to work with a modern data stack with tools like Snowflake, DBT, Tableau, Airflow on K8s etc.
  • A wide range of interesting data points ready to be analysed and a company ready to implement your data products, impacting our 2+ million customers (and 3+ million domains - increasing year-by-year)
  • Being part of group.one where data-driven is one of the main drivers for achieving success



As a full-time employee at group.one Copenhagen, you are offered

  • Full pay during parental leave
  • A hybrid working model with 2-3 days at home a week
  • 5 extra vacation days on top of your 5 weeks of vacation
  • Pension plan, health insurance, and an annual health check
  • World-class lunch arrangement provided by Meyers Kitchen
  • One of the best locations in Copenhagen right next to the Central Station
  • A modern office environment including MuteBoxes and ergonomic furniture
  • A free website with domain and hosting, where you can choose your own domain name



Apply now 

Interviews will be conducted on an ongoing basis. For further questions regarding the position, you can send an email to P&C Specialist Sigurd Rønne Christiansen at sigurd.christiansen@group.one. Upload your CV and application through the recruitment platform by clicking ‘Apply now’ and following the steps. Be sure to check your spam folder for emails from us via Recruitio. For your personal data protection, please refrain from sending your CV and application as an email.



Become a part of group.one

group.one is one of the leading group companies in Europe in the administration and sale of domains, web hotels, and email. We have an international environment with a high level of flexibility and growing ambitions. We are proud to present our key numbers of business:

  • More than 2,000,000 great customers in 149 countries
  • With more than 3,000,000 registered domains to their name
  • 1200 incredible people have chosen us as their employer
  • And the diversity stretches to more than 45 different nationalities
  • Remote, hybrid, or in-office, they carry us from more than 12 countries
  • And lastly, we are connecting 12 major brands well-established in the European market to lead us towards becoming number one - your European Champion



Diversity and Inclusion

At group.one we are intentional about diversity, equality and creating an inclusive climate. We work not only across continents and countries, but also across gender expressions, generations, cultures, sexual orientations, religions, and perspectives.

Therefore, group.one is an equal opportunity workplace committed to equal employment opportunity regardless of race, colour, ancestry, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity/expression.

1 job opening is available

Requisitos laborales

What we are hoping you are

  • Curious of new Data Engineering trends and potential data sources. Be an advocate for best practices and continued learning 
  • Intelligent and result-oriented, being able to structure your own work
  • Experience and/or interest in the open-source community and a skilled Linux user
  • Communicative and value building strong relationships with colleagues and multiple stakeholders, and have the ability to explain complex topics in simple terms
  • Detail-oriented when needed. Being able to decide on the right level of details, e.g. knowing the difference between important data from less important, and important tasks from less important ones
  • Pragmatic, willing to use the best tool-for-the-job
  • Keep promises and maintain being a trusted business partner 



What we are hoping you know

  • Proficient in various SQL and NoSQL databases, such as PostgreSQL, Snowflake or Hadoop 
  • Experience in data modelling techniques, and pros/cons for different approaches  
  • Knowledge of various ETL techniques and frameworks including tools like DBT, Airflow, Python
  • Confident in scripting, such as Bash or Python
  • Confident in version control methodologies and tools
  • Experience of data governance, role and user management
  • Knowledge on how to build good testing coverage
  • Understanding of Kubernetes and/or Docker
  • Experience with Machine Learning toolkits, Jupyter, MLflow or Kubeflow
  • Experience with restful API 
Detalles del trabajo
Campo de ocupación:
Work experience:
Work experience is required
Duración de la experiencia laboral:
Up to 1 year
Habilidades lingüísticas:
  • English
  • Good
Horquilla salarial::
Not provided
Date of expiry:
Link for more information:

Información sobre la empresa

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