16 of 16 Apache Cassandra Jobs in London

is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and More ❯

system design and architecture Background in complex, large-scale, data-driven applications Product-focused approach, ideally within fast-paced tech organisations (start-ups or scale-ups) Knowledge of Kafka, Cassandra, gRPC, and microservices is a strong advantage Open-source contributions are beneficial If you're a Senior Go Developer looking for a challenging 6-month contract with a forward More ❯

and architecture Hands-on experience working on complex, data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Experience with Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a Senior Go Developer looking for a fast-paced More ❯

modeling, ETL processes, and database design. Proficiency in programming languages such as Java, C#, or Python. Experience with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS More ❯

modeling, ETL processes, and database design. Proficiency in programming languages such as Java, C#, or Python. Experience with relational databases (e.g., SQL Server, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra). Solid understanding of software development methodologies (Agile, Scrum, etc.). Ability to analyze complex data sets and derive actionable insights. Preferred Skills: Experience with cloud platforms (e.g., AWS More ❯

of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive More ❯

of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive More ❯

scalable and fault-tolerant Linux/Kubernetes/JVM-based infrastructure in AWS, GCP, and other public clouds. Expertise in Linux Operating Systems, Networking, and Database concepts. Experience with Cassandra (or another NoSQL alternative). Expertise in cloud providers, such as Amazon Web Services, Azure, and GCP. Experience with configuration management systems such as Ansible or Puppet. Experience in More ❯

Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General Skills More ❯

Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General Skills More ❯

Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General Skills More ❯

Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General Skills More ❯

Data integrity, scalability, and cost efficiency Managing complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data More ❯

Data integrity, scalability, and cost efficiency Managing complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data More ❯

PSA Engineer - ADMS (Distribution) London(Hybrid or On-site) Salary D.O.E We are hiring experienced PSA Engineers to support and enhance ADMS (Advanced Distribution Management Systems) solutions. You'll work closely with cross-functional teams and Electric Utilities to deliver More ❯

The SWE Developer Productivity organization builds technologies and tools to help software engineers at Apple to do the best work of their lives. The SDP Infrastructure team supports that mission by building innovative infrastructure and tools to provide engineers with More ❯