You will join our Stockholm office as part of QuantumBlack. You will work with other data engineers, data scientists, designers and strategy consultants on interdisciplinary projects.
You'll work hands in hands with our clients, from data owners and users to C-level executives.
As a data engineer at QuantumBlack, you will work in multi-disciplinary environments harnessing data to provide real-world impact for organisations globally. You will influence many of the recommendations our clients need to positively change their businesses and enhance performance.
Role responsibilities
- Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
- Design and build data pipelines to support data science projects following software engineering best practices
- Use state of the art technologies to acquire, ingest and transform big datasets
- Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
- Create and manage data environments in the cloud or on premise
- Ensure information security standards are maintained at all time
- Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
- Be flexible to travel to our clients' offices to deliver presentations, gather information or share knowledge
Our tech stack
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, SQL, Airflow, Databricks, Kedro (an OSS developed by QuantumBlack), container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!