Job description
We are seeking an experienced Senior Data & Knowledge Platform Engineer to design, build and operate the data foundations behind SICPA’s sovereign intelligence and AI initiatives. The role combines production data engineering with entity-centric, graph and semantic data modelling. You will turn heterogeneous internal, government and open-source data into trusted, traceable and reusable data products that support analytics, knowledge graphs, AI agents and decision-support applications.

Key responsibilities
· Design and implement scalable pipelines for structured, unstructured, geospatial, OSINT ( Open source intelligence) and SICPA data.
· Define reusable data models supporting relational, graph, geospatial and AI workloads.
· Build capabilities for data quality, enrichment, entity resolution, provenance and lineage.
· Develop and operate data platforms, repositories and APIs for applications such as SICPA Pulse.
· Operationalise taxonomies, ontologies and knowledge graphs.
· Prepare reliable data pipelines for RAG systems and AI agents.
· Implement testing, CI/CD, monitoring and observability for data products.
· Collaborate with data scientists, software engineers, domain experts and academic partners to productionise analytical and graph-based solutions. Profile description: Required qualifications
· Master’s degree in Computer Science, Data Engineering, Software Engineering or a related field, with 5+ years of experience building production data platforms.
· Strong proficiency in Python and SQL.
· Experience integrating heterogeneous data from APIs, databases,



files or messaging systems.
· Solid knowledge of data modelling, schema evolution, data quality, lineage and provenance.
· Experience with workflow orchestration, automated testing, Docker and CI/CD.
· Experience with relational databases and at least one additional data technology such as graph, document, vector, search or geospatial databases.
· Strong software-engineering and problem-solving skills.
· Excellent communication skills with technical and non-technical stakeholders. Preferred qualifications
· Knowledge graphs and technologies such as Neo4j, Cypher, RDF or SPARQL.
· Ontology, taxonomy or semantic-data modelling.
· Entity resolution, record linkage and temporal data modelling.
· Geospatial data engineering, including PostGIS or GeoJSON.
· Data pipelines for RAG, LLM and agentic systems.
· Experience with OSINT, multilingual, government, financial or fraud-related data.
· Familiarity with graph analytics or graph machine learning.
· Experience with Azure, AWS, hybrid or on-premise deployments. Join Us At SICPA, we believe that:
• Our success comes from our highly skilled and talented employees.
• Respectful entrepreneurship and a long-term vision are key to success.
• Our people contribute to a more secure world.
• Diversity at all levels of the organization is a strength.

We offer
an exciting and challenging role with significant opportunities for professional growth within a unique organization operating in a fascinating and fast-growing industry. Your application will be handled with the utmost confidentiality and discretion.

📌 Data& Knowledge platform Engineer (Madrid)
🏢 Sicpa
📍 Madrid