Copenhagen, Capital Region of Denmark, Denmark · On-site
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 infr…
Skills: Python, PySpark, SQL, Azure Databricks, Azure Data Lake
Copenhagen, Capital Region of Denmark, Denmark · On-site
At 3Shape, we use cloud platforms to deliver secure, reliable services to both internal teams and external customers. Microsoft Azure is our primary cloud provider, and we are scaling our footprint across IaaS, PaaS, and…
Skills: C#, .NET, Azure, DevOps, SRE
Copenhagen, Capital Region of Denmark, Denmark · On-site
DEADLINE 23 of August! Do you enjoy driving operational improvement projects in a pharmaceutical environment? We are looking for an experienced Project Manager to join our RA/QA/PV Project Management team and drive proce…
Skills: Project management, Process optimization, Process mapping, Regulatory affairs, Quality assurance
Copenhagen, Capital Region of Denmark, Denmark · On-site
Do you want to develop your analytical skills? Are you studying in a data- or business-related field? Do you want to work in a global, multicultural, and dynamic environment where you can link your academic knowledge to …
Skills: Business analysis, Data analysis, Financial analysis, Economic analysis, Microsoft Excel
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The role involves designing, building, and owning scalable batch and streaming data pipelines to support analytics, BI, and AI/ML use cases. You will also contribute to the core data platform's architecture and ensure data reliability through monitoring and observability tools.
Candidates must have a Master's degree in Computer Science or a related field and solid experience with Python, SQL, and Git. A proactive mindset and strong problem-solving skills are required, with a preference for those interested in cloud environments and big data processing.
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.
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.
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!
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
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
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.
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.
If you want to apply for the position, please follow the link and attach your CV and cover letter. We review applications on an ongoing basis, we encourage you to apply as soon as possible.
Follow us on Instagram and LinkedIn and get an insight into everyday life at Abacus Medicine. For job openings, check our Career page.
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.
Better Access. Better Healthcare.
Even the best medicine in the world won’t work if it never reaches the patient, and insufficient access is a large and growing problem. The Abacus Medicine Group offers a range of different solutions and services that provide better access to life-critical medicine at affordable prices to millions of patients across the world. Our business purpose holds a substantial positive impact on healthcare systems and society and is something we're proud of. The company was founded in 2004 by CEO Flemming Wagner and Medical Director John Wagner and has experienced significant growth ever since. Today, we are more than 1,750 colleagues moving healthcare in Europe and beyond. The Abacus Medicine Group is among the 100 largest Danish companies. The Group operates as four brands: Abacus Medicine, Pluripharm, Abacus Medicine Pharma Services and Originalis. Learn more about the Abacus Medicine Group on our website below.
Offices: Kalvebod Brygge 35, København, Hovedstaden 1560, DK · Maglódi út 6., Budapest, Budapest 1106 , HU · Berliner Straße 8, Velten, 16727, DE · Diamantweg 4, Alkmaar, North Holland 1812, NL · 282 Farnborough Road, Farnborough, England, GB
There are currently 183 open healthcare positions in Copenhagen, Denmark listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include 3Shape, Danaher, AGC Biologics, Abacus Medicine Group, Lundbeck, among others. Browse the listings above to see every active employer.
Yes — 75 of the 183 open healthcare positions offer remote or hybrid work (22 remote, 53 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
