Senior Data Engineer – Gothenburg
Workplace: Sweden
Expires: August 15, 2025
Join us to build a cutting-edge data platform within Life Science. We are seeking an experienced Data Engineer with broad technical expertise and deep knowledge in data processing, cloud solutions, and large-scale pipeline development.
Main requirements:
- At least 8 years of experience as a Data Engineer in complex environments
- Deep knowledge of Apache Spark and Java (mandatory)
- Experience working with cloud infrastructure, preferably AWS
- Experience with Python scripting and data handling
- Good understanding of databases (PostgreSQL), search indexes (ElasticSearch), and Unix systems
- Experience with workflow management tools like Apache Airflow
Responsibilities:
- Develop and optimize data processes using Apache Spark
- Write robust and efficient backend code in Java and some Scala
- Manage and model data in PostgreSQL and ElasticSearch
- Work with batch and scheduled workflows in Apache Airflow
- Build pipelines in cloud environment (AWS) and automate data deliveries
- Collaborate with product teams, developers, and data scientists
Required hard skills:
- Apache Spark
- Java
- AWS cloud services
- Python scripting
- PostgreSQL
- ElasticSearch
- Unix/Linux systems
- Apache Airflow
Recommended hard skills:
- Background in Life Science, medical technology or other data-intensive industries
- Experience with scalable platforms and distributed data processing
- CI/CD knowledge and experience with container solutions like Docker and Kubernetes
Soft skills:
- Collaboration
- Problem-solving
- Technical proficiency in complex systems
- Ability to manage end-to-end data flows
Coding languages:
- Java
- Scala
- Python
Frameworks:
- Apache Spark
- Apache Airflow
Operating systems:
- Unix/Linux
Natural languages:
- English (Proficient)
Cultural skills:
- Cross-functional teamwork
- Innovation-driven environment
Apply for this job