Data Engineer

ABACUS MEDICINE; København; On-site; DKK 600,000 - 900,000; Full time

Job summary

ABACUS MEDICINE in Copenhagen is seeking a Data Engineer to design, build, and scale data pipelines in a cloud-native environment. You will work closely with experienced engineers and grow into responsibilities as the data platform evolves.

You'll contribute to the backbone of our data platform supporting analytics, BI, and AI/ML use cases, using a modern data stack and observability practices. This role emphasizes reliability, scalability, and collaboration across teams.

Qualifications

• Master’s degree in CS, Engineering, Data Science, or related field.
• Solid experience with Python for data processing and automation.
• Familiarity with Git in collaborative workflows.
• Proficient SQL and data transformation basics.
• Interest in data, cleaning, and validating datasets.
• Strong problem-solving and communication skills.
• English written and spoken fluency.

Responsibilities

• Design, build, and own scalable batch and streaming data pipelines for analytics and AI/ML.
• Contribute to core data platform architecture and tooling.
• Collaborate with analytics, BI, AI, ML, and engineering teams to deliver data solutions.
• Build and maintain data ingestion pipelines from multiple sources.
• Improve data reliability through quality checks, monitoring, and observability.
• Optimize data storage and performance to scale with growth.
• Support cloud infrastructure for data workloads (compute, storage, access control).
• Monitor and troubleshoot pipelines using observability tools.

Skills

Python

Git

SQL

Problem-solving

English

Team collaboration

Education

Master’s degree in CS/Engineering/Data Science

Tools

Azure Databricks

Delta Lake

PySpark

Azure Data Factory

SQL

Git

Job description

Drive meaningful change

Are you ready to kick-start your career in Data Engineering? In this role, you’ll have the opportunity to develop your skills by working on designing, building, and scaling data pipelines and infrastructure in a modern, cloud-native environment. You’ll collaborate closely with experienced engineers, get hands-on experience with cutting-edge technologies, and gradually take on more responsibility as you grow.

This is a great opportunity to learn how a modern data platform is built and operated in practice. You’ll work on real data challenges, contribute to our core platform, and play a role in shaping how data creates value across the company.

Get a glimpse of our world

We’re looking for a curious and ambitious Data Engineer who is excited about learning how data pipelines are built and run in practice. Beyond coding, you’re interested in understanding how things work, from tooling and architecture to reliability and scalability.

You’ll join a team responsible for the backbone of the data platform that analytics, BI, our AI and ML use cases depend on. We work with a modern data stack, collaborate closely across teams and tackle real-world data problems at scale.

You’ll have room to experiment, bring ideas forward, and actively influence the evolution of our cloud data platform as we grow. If shaping a modern data platform excites you, you’ll feel right at home here.

Are you ready to embark on this journey with us?

As a Data Engineer, you will:

• Design, build, and own scalable batch and streaming data pipelines that power analytics, BI, and AI/ML use cases
• Contribute to the development of our core data platform, gaining experience with architecture,, shared frameworks, and platform tooling
• Collaborate closely with teams cross analytics, BI, AI, ML and engineering to deliver reliable and impactful data solutions
• Build and maintain data ingestion pipelines, working with data from variety of internal and external sources
• Support improvements in data reliability and trust through data quality checks, monitoring, alerting, and observability
• Work across data integration, storage optimization, and performance tuning to support growth at scale
• Support and improve cloud infrastructure for data workloads, including compute, storage, and access control
• Monitor and troubleshoot, and resolve pipeline and platform issues using our observability and monitoring tools
• Contribute to optimizing data storage and retrieval for performance and cost efficiency
• Stay curious about emerging data engineering trends and apply modern best practices to continuously improve the platform
• Share knowledge and contribute to best practices, supporting team growth and continuous improvement across the team

You will work hands-on with technologies such as:

• Azure Databricks
• Azure Data/Delta Lake
• Python & PySpark
• SQL
• Azure DevOps
• Monte Carlo (Data Observability)
• Azure Data Factory
• Git
• …and more!

Fuel for your success in the role

You're motivated by building high-quality data services and enjoy working in a fast-moving, collaborative environment. You like solving complex problems, care about reliability, and are always curious about better ways to do things.

We’re looking for someone who brings:

• A 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

What makes this role interesting

• You’ll work on the core data platform that power analytics and decision-making across the whole Abacus Medicine Group
• Exposure to modern data stacks and real-world scale challenges
• Opportunities to influence platform architecture decisions as you grow
• Hands-on experience with automation, observability, and reliability at scale

It is an advantage if you have experience or interest in:

• Cloud environments (Azure, AWS, or GCP)
• Azure Data / Delta Lake for efficient storage and processing of big data.
• Streaming or event-driven architectures
• Data governance, lineage, and access management
• Apache Spark and Databricks
• PySpark
• Orchestration tools (Azure Data Factory, Airflow, etc)
• Data modeling and transformation concepts
• CI/CD practices.

Your future colleagues

In the Data, Analytics & AI (D&A) department, we deliver end-to-end capabilities across Data Engineering, Business Intelligence, Advanced Analytics, and AI-driven automation. We are responsible for developing and operating Abacus’ enterprise data hub, including data management, orchestration, and self-service data and BI platforms. Our work spans predictive and prescriptive analytics using OR, ML, and AI, as well as applying AI to optimize workflows and enhance personal productivity across the organization.

The department consists of over 30 colleagues with diverse profiles, including Data Scientists, Data Engineers, BI Developers, Data Analysts, GenAI Engineers and AI Advisors.

Our team consists of individuals from diverse nationalities, expertise areas, educational backgrounds, and ownership responsibilities across our data platforms and services. This diversity creates a strong environment for collaboration, technical synergies, and support among units, all while maintaining a positive and motivating work environment.

In summary, our goal is to create innovative data-driven solutions for core business problems within a friendly and professional work setting.

Moving Healthcare. Moving You.

In Abacus Medicine Group, you’ll experience the power of Moving Healthcare. With our change mindset, we’re moving the industry and improving healthcare as we broaden access to medicine.

But it's not just about moving healthcare, it's about Moving You. You’ll be part of a caring community of more than 1,750 people across the World. With us, you will be valued, empowered, and have a direct impact on driving change. Let's access the future of medicine and make a difference together. Your move.