Are you a recent graduate or in the early stages of your career, and would you like to turn data into useful knowledge? And would you like to work directly with clients while keeping up to date with new technologies within data engineering? Then read on and apply to join our dynamic young team of 50 data experts who help companies gain new insights using a wide palette of modern tools.
Contract: Full-time
Location: Central Copenhagen, near Vesterport Station
Work Assignments
This is a hands-on coding role focused on turning complex data challenges into production-ready solutions while talking with our clients to ensure we deliver according to their needs.
Specifically, you will:
Build robust data pipelines and models that streamline the ingestion, transformation, and delivery of data.
Implement and develop modern data platforms through DevOps & CI/CD practices.
Collaborate with our clients’ engineers, analysts, & business users to solve business issues and ensure lasting value.
You will be guided by and learn from our many senior data engineers.
About You
Ideally, you have:
Either recently completed (or soon to complete) a Master’s degree in a relevant field or worked as a Data Engineer but still in the start of your career.
Proficiency in either Python, PySpark, SQL, or APIs.
It’s a plus if you have experience with Azure, AWS, GCP, Snowflake, Databricks, Fabric, dbt, or AI technologies, but if you don’t have it, no worries - we will teach you!
An analytical approach to problem-solving, with a strong interest in how to drive business improvement using data.
Clear communication skills and the curiosity to engage with clients on projects.
A base near Copenhagen and fluency in English.
If you're excited about this role but you don’t tick all the boxes, we still highly encourage you to apply.
Why Devoteam Data Driven?
You will join a fantastic team of talented, curious data experts in a collaborative and dynamic workplace. Beyond working with great colleagues on impactful projects, we offer comprehensive benefits to support your growth:
Continuous Growth & Community: We invest in your talent and dedicate time for learning to ensure you have up-to-date certifications in our core technologies. We are sure you’ll thrive by being inspired and inspiring others across our global network of data experts.
Work-Life Balance: We prioritize your personal time. In addition to your six weeks of paid vacation, we offer the flexibility of taking unlimited self-paid time off when you want it.
Social Events: We offer a variety of social events throughout the year with all sorts of fun activities outside of work. We have committees that plan sports, cultural and party events which you are more than welcome to participate in.
Our Impact
Below are a few examples of our recent work:
Migrated Novo’s global supply chain analytics solution from Alteryx-based workflows to a governed, cloud-native architecture using DBT, Snowflake, and Azure DevOps to support enterprise-scale analytics and collaboration.
Developed a comprehensive end-to-end data warehouse solution, featuring automated pipelines that structured dimensional data from diverse operational systems for unified analytics for a client.
Assessed the current data landscape in Novonesis and implemented a new self-service landscape to enable business users to utilise the power of the modern data stack.
Application Process
Apply by uploading your CV and grades no later than November 23rd.
We review applications and invite selected candidates for interviews on an ongoing basis, so we encourage you to apply as soon as possible.
We encourage all qualified candidates to apply, regardless of gender, age, ethnicity, religion, sexual orientation, or disability.
About Devoteam
Devoteam is a leading digital consultancy represented in 25 countries in Europe with +11,000 employees. In Denmark, our team is around 350 people and spread across four business teams - Data Driven (our team), a ServiceNow team, a Digital Management Consultancy team & a Google Cloud team - each focused on different aspects of digital transformation.