Amazon Web Services Application servers: Node.js, Oracle Weblogic, Oracle Glassfish, JBoss and Apache Tomcat Data environments: Oracle, Sybase, PostGreSQL, MySQL, MongoDB, Splunk, and Elasticsearch/Logstash/Kibana (ELK), Neo4j Operating system environments: Windows, Linux, and MacOS Software requirements management: Atlassian Suite, EPICS, Story Board Data Science: Statistical Analysis, Data Visualization, Graph Analysis, Data Engineering This position is contingent More ❯
We seek a skilled Android Developer to enhance our web presence and platform functionality. ABOUT INNOVECS: Innovecs is a global digital transformation tech company with a presence in the US, the UK, the EU, Israel, Australia, and Ukraine. Specializing in More ❯
Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of ML solutions to production. •Experience in Microservices development, API backend development using FastAPI •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Guide team to debug issues with pipeline failures •Engage with Business/Stakeholders with status update on progress of development and issue fix … backend development using FastAPI •MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production. •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Experience designing and implementing ML Systems & pipelines, MLOps practices •Exposure to event driven orchestration, Online Model deployment •Hands on experience in working with More ❯
backend development using FastAPI •MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production. •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Guide team to debug issues with pipeline failures •Engage with Business/Stakeholders with status update on progress of development and issue fix … backend development using FastAPI •MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production. •Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant) •Experience designing and implementing ML Systems & pipelines, MLOps practices •Exposure to event driven orchestration, Online Model deployment •Hands on experience in working with More ❯
London, England, United Kingdom Hybrid / WFH Options
Derisk360
Architect and develop end-to-end data pipelines on Google Cloud Platform (GCP), integrating structured, semi-structured, and unstructured data sources. Design and implement advanced Graph Database solutions using Neo4j, Cypher queries, and GCP-native integrations. Create ETL/ELT workflows leveraging GCP services including Dataflow, Pub/Sub, BigQuery, and Cloud Storage. Model real-world use cases in … Neo4j such as fraud detection, knowledge graphs, and network analysis. Optimize graph database performance, ensure query scalability, and maintain system efficiency. Manage ingestion of large-scale datasets using Apache Beam, Spark, or Kafka into GCP environments. Implement metadata management, security, and data governance using Data Catalog and IAM. Collaborate with cross-functional teams and clients across diverse EMEA time … zones and domains. What You Bring 5+ years of experience in data engineering, including 2+ years with Neo4j or another Graph DB platform. Proficiency in SQL, Python, and Cypher query language. Strong hands-on experience with BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Expertise in graph theory, graph schema modeling, and data relationship mapping. Bachelor’s degree in More ❯
London, England, United Kingdom Hybrid / WFH Options
GSK
Denodo. Experience with cloud data management, integration, and data platform analytics and machine learning. Knowledge and experience in RAG (Retri e val Augmented Generation) systems, knowledge graphs ( e.g. Stardog , Neo4j), and document vector store technologies. Understanding of MDM , including design and implementing data integration flows between MDM and other systems. Use of tools like Erwin Data Modeler to create More ❯
London, England, United Kingdom Hybrid / WFH Options
Disruptive Industries
and messaging solutions (e.g., Kafka, RabbitMQ, AWS EventBridge, AWS SQS/SNS). Deep understanding and practical experience with relational (PostgreSQL, MySQL) data bases Familiarity with graph databases (e.g., Neo4j) and strong data modelling skills, particularly for geo-spatial and temporal data. Expertise in designing and consuming RESTful and GraphQL APIs Demonstrated experience developing microservices architectures, including integration with More ❯
Guildford, England, United Kingdom Hybrid / WFH Options
Allianz UK
intelligence would be advantageous. Familiarity with Azure cloud platform and distributed computing frameworks (e.g., Apache Spark) is a plus. Experience in building and working with knowledge graphs, such as Neo4j, or GraphDB would be desirable. What We Will Offer You Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose More ❯
Sheffield, Yorkshire, United Kingdom Hybrid / WFH Options
Educations Media Group
or LlamaIndex. LLM Integration: Proven ability to integrate effectively with LLM APIs (OpenAI, Gemini) and ideally experience handling open-source models. Knowledge Graphs for AI: Experience utilising Knowledge Graphs (Neo4j preferred) as part of AI architectures, as part of modern RAG systems. Highly Desirable: Experience building B2C applications (e.g., chatbots), exploring Agentic AI patterns. What can we offer you More ❯
to support advanced analytical use cases and ML, AI opportunities. Experience with containerisation technologies ( Docker, Kubernetes ) for scalable data solutions. Experience with vector databases and graph databases (e.g., Pinecone, Neo4j, AWS Neptune ). Understanding of data mesh-fabric approaches and modern data architecture patterns . Familiarity with AI/ML workflows and their data requirements. Experience with API specifications More ❯
business information into technical specifications Skills Required (desirable): Knowledge of streaming services - Flink, Kafka Familiarity of Dimensional Modelling concepts Knowledge of node based architecture, graph databases and languages - Neptune, Neo4j, Gremlin, Cypher Experience 8+ years of experience with Databricks product suite, Spark, Scala, PySpark, Python 8+ years of experience in SQL and database technologies like Snowflake or equivalent. 5+ More ❯
Guildford, England, United Kingdom Hybrid / WFH Options
Allianz
intelligence would be advantageous. Familiarity with Azure cloud platform and distributed computing frameworks (e.g., Apache Spark) is a plus. Experience in building and working with knowledge graphs, such as Neo4j, or GraphDB would be desirable. What We Will Offer You Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose More ❯
ability to translate business information into technical specifications Knowledge of streaming services – Flink, Kafka Familiarity of Dimensional Modelling concepts Knowledge of node based architecture, graph databases and languages – Neptune, Neo4j, Gremlin, Cypher Experience 8+ years of experience with Databricks product suite, Spark, Scala, PySpark, Python 8+ years of experience in SQL and database technologies like Snowflake or equivalent. 5+ More ❯
experience (MS 3-5, PhD 0-2) Demonstrated experience analyzing structure and unstructured data, ETL pipelines, and how they relate to data flows Demonstrated experience with graph database technologies. Neo4j experience preferred Demonstrated experience with Cloud infrastructure within a high secure environment Expertise with databases and data warehouse technologies such as SQL DBs, NSQL DBs, and other storage options More ❯
tools) • Experience with containerization and use of Kubernetes • Familiarity with Object Relational Modeling persistence frameworks (e.g. SQLAlchemy), and with PostgreSQL • Familiarity with the use of ElasticSearch/OpenSearch, and Neo4J as persistent stores • Well versed in modern software architectures like micro-services as well as front-end frameworks. • Strong communications skills: you will be required to proactively engage fellow More ❯
pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying needs Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and More ❯
pipelines. Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, or Snowflake, with a focus on scalability and performance optimization Familiarity with graph databases (e.g., Neo4j, Memgraph) or search platforms (e.g., Elasticsearch, OpenSearch) to support complex data relationships and querying needs Solid understanding of cloud infrastructure, particularly AWS, with practical experience using Docker, Kubernetes, and More ❯
Myrtle Point, Oregon, United States Hybrid / WFH Options
Maxar Technologies
e.g., Ansible, Terraform) and CI/CD tools (e.g., GitLab) - Familiarity with query languages (SQL, PL/SQL) and databases (relational, NoSQL, and graph databases e.g., MySQL, PostgreSQL, MongoDB, Neo4j) - Experience with security and access management architectures - Experience with utilizing automated testing and linting - Strong written communication - Highly focused self-starter that likes solving problems - Passion for learning and More ❯
a Solution Architect or Data Architect in large-scale, enterprise environments. Rail industry experience or deep understanding of transportation infrastructure and operational data. Strong knowledge of graph databases (e.g., Neo4j, Amazon Neptune) and graph-based modelling for network analysis and relationship mapping. Understanding of network management systems, topology modelling, and asset interconnectivity in physical or digital rail infrastructure. Solid More ❯
control, and data masking. Support data migration and transitioning strategies, ensuring minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security More ❯
control, and data masking. Support data migration and transitioning strategies, ensuring minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security More ❯
