Data Platform Engineer: Build Scalable Cloud Pipelines

Abacus Medicine Group; København; On-site; DKK 650,000 - 950,000; Full time

Job summary

Abacus Medicine Group is seeking a Data Engineer to design, build, and scale data pipelines and infrastructure in a cloud‑native environment. You will work with a modern data stack, collaborating across analytics, BI, AI, and engineering teams to deliver reliable data solutions at scale.

You will join a team responsible for the backbone of the data platform, tackling real‑world data problems, with room to experiment and influence platform evolution as the company grows.

Qualifications

• Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Solid experience working with Python for data processing and automation.
• Comfort working with Git in a collaborative development workflow
• Basic knowledge of SQL, including writing queries and performing data transformation tasks.
• An interest in working with data, including preparing, cleaning, and validating datasets.
• Strong problem‑solving skills with attention to detail.
• Excellent communication and collaboration skills
• A proactive, continuous‑learning mindset
• Good written and spoken skills in English

Responsibilities

• Design, build, and maintain scalable data pipelines powering analytics, BI, and AI/ML use cases.
• Develop and evolve the core data platform, focusing on architecture and platform tooling.
• Collaborate with analytics, BI, AI/ML, and engineering teams to deliver reliable data solutions.
• Build data ingestion pipelines from diverse internal and external sources.
• Improve data reliability with quality checks, monitoring, and observability.

Skills

Python for data processing

Git

SQL

Data wrangling

English communication

Education

Master’s degree in Computer Science, Engineering, Data Science, or related field

Tools

Azure Databricks

Azure Data/Delta Lake

Azure Data Factory

Monte Carlo

Azure DevOps

Job description

Abacus Medicine Group is seeking a Data Engineer to design, build, and scale data pipelines and infrastructure in a cloud‑native environment. You will work with a modern data stack, collaborating across analytics, BI, AI, and engineering teams to deliver reliable data solutions at scale.

You will join a team responsible for the backbone of the data platform, tackling real‑world data problems, with room to experiment and influence platform evolution as the company grows.