Part-time Data Engineer Consultant

Devoteam; København; On-site; DKK 446,400 - 669,600; Part time

Benefits offered by this job

Continuous Growth & Learning

Unlimited self‑paid time off

Social events

Job summary

Devoteam Data Driven is seeking a hands‑on data professional to turn complex data challenges into production‑ready solutions while engaging with clients directly in Copenhagen.

The role emphasizes building robust pipelines and models, implementing modern data platforms, and collaborating with engineers, analysts, and business users to drive measurable business value. You’ll be guided by senior engineers and grow your cloud and data skills.

Qualifications

• Master's student in a relevant field.
• Bachelor’s degree in a related area is preferred.
• Proficiency in Python/SQL/PySpark/APIs or software development is expected.
• Experience with cloud platforms and data tooling is advantageous.

Responsibilities

• Build robust data pipelines and models for ingestion, transformation, and delivery of data.
• Implement and develop modern data platforms through DevOps & CI/CD practices.
• Collaborate with clients’ engineers, analysts, and business users to solve business issues and ensure lasting value.

Skills

Python

SQL

PySpark

APIs

Software development

Azure

AWS

GCP

Snowflake

Databricks

dbt

AI technologies

Client communication

Danish/English

Education

Master's student in a relevant field

Bachelor’s degree

Tools

N/A

Job description

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 & 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

Work Assignments

This is mainly a hands‑on coding role focused on turning complex data challenges into production‑ready solutions, but you will also have client contact. 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 & learn from our many senior engineers.

What You Bring to the Team

Ideally, you:

• 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, but 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.

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 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

Below are a few examples of our work:

• 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.

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