Python Developer/Data Engineer
We are looking for a Mid-Level (3+y) AND SENIOR (5+y) Data / Knowledge Graph Engineer to support the development of data platforms and semantic data models used for advanced analytics and machine learning use cases.
In this role, you will work with knowledge graphs, semantic technologies, and cloud-based data platforms on Google Cloud, helping to build scalable data pipelines and services that enable efficient data integration and querying.
You will collaborate with data engineers, developers, and domain experts to transform complex data into structured and reusable knowledge models.
Key Responsibilities
Develop and maintain data pipelines and ETL/ELT processes.
Work with semantic data models using RDF and SPARQL.
Build and query knowledge graphs and support their integration with data platforms.
Use tools such as YASGUI to create SPARQL queries and YASR to visualize query results.
Develop backend services and APIs using Python.
Work with REST and GraphQL APIs to integrate data services.
Support deployment and infrastructure management using Terraform and GCP services.
Collaborate with frontend teams when building data-driven interfaces using React.
Work within Agile teams and contribute to CI/CD processes.
Required Skills
Experience with Python development.
Knowledge of RDF data modeling and SPARQL querying.
Experience with SQL and data processing pipelines (ETL/ELT).
Familiarity with Google Cloud Platform (GCP) services such as:
BigQuery
GKE
Dataproc
Experience with container orchestration and deployment tools (Helm, Kubernetes).
Knowledge of DevOps practices, including GitHub Actions.
Understanding of data APIs (REST / GraphQL).
Basic knowledge of Machine Learning and Knowledge Graph concepts.
Strong communication skills and English at C1 level.
Experience working in Agile environments.
Nice to Have
Experience with Apache Jena.
Knowledge of IAM and VPC-SC in GCP.
Experience with React.
Background in pharmaceutical, biotech, or life sciences industry.