Part-time Data Engineer Consultant

Job Description

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? Then read on and apply to become part of a dynamic young team of 60 data experts who help companies gain new insights using a wide palette of modern tools.

Contract

• Part‑time

Location

• Central Copenhagen, near Vesterport Station

Work Assignments

• 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 & learn from our many senior engineers.

What You Bring To The Team

• Are a Master's student within a relevant field, and hold a relevant Bachelor’s degree.
• Are proficient in either Python, SQL, PySpark, APIs, or software development.
• Have an analytical approach to problem-solving, with a strong interest in how to drive business improvement using data.
• Have good communication skills and the curiosity to engage with clients on projects.
• Have experience with Azure, AWS, GCP, Snowflake, Databricks, Fabric, dbt, or AI technologies; if you don’t have, no worries – we will teach you!
• Live near Copenhagen and am fluent in Danish and/or English.

If you're excited about this role but you don’t tick all the boxes, we still highly encourage you to apply.

Benefits

• Continuous Growth & Community: We invest in your talent and dedicate time for learning to ensure you have up‑to‑date certifications in our technologies.
• Work‑Life‑School Balance: We offer the flexibility of taking unlimited self‑paid time off when you want it, for example during exam periods.
• Social Events: We offer a variety of social events throughout the year. Recently we have done Pottery, Laser tag, Disc Golf, Book Club, Curling, Board Game Night, Foosball Tournament, Ice Hockey, among many other things.

Our Impact

• Migrated Novo Nordisk'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 framework to enable business users to utilise the power of the modern data stack.

Equal Opportunity Statement

We encourage all qualified candidates to apply, regardless of gender, age, ethnicity, religion, sexual orientation, or disability.