16 of 16 Remote Apache Cassandra Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

Your Profile Essential skills/knowledge/experience: Experience with advanced Python concepts like concurrency, asynchronous programming, and metaclasses. Knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). Strong knowledge of OOPs Concepts Understanding of domain-related best practices. Strong command of Python syntax, data structures, object-oriented programming. Proficiency in database design and optimization techniques. More ❯

Your Profile Essential skills/knowledge/experience: • Experience with advanced Python concepts like concurrency, asynchronous programming, and metaclasses. • Knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). • Strong knowledge of OOPs Concepts • Understanding of domain-related best practices. • Strong command of Python syntax, data structures, object-oriented programming. • Proficiency in database design and optimization techniques. More ❯

Your Profile Essential skills/knowledge/experience: • Experience with advanced Python concepts like concurrency, asynchronous programming, and metaclasses. • Knowledge of relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra). • Strong knowledge of OOPs Concepts • Understanding of domain-related best practices. • Strong command of Python syntax, data structures, object-oriented programming. • Proficiency in database design and optimization techniques. 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 ❯

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 ❯

principles, with practical experience supporting data-centric workloads. Experienced working across both bare-metal and Cloud environments. Skilled in designing and operating distributed data platforms such as Spark, Kafka, Cassandra, or Elasticsearch. Familiarity with modern data practices such as data lakes, data warehousing, and large-scale batch/streaming pipelines. Comfortable writing automation and platform tooling (Python, Bash, Go More ❯

collaboration skills. Curiosity about AI tools and frameworks, and interest in how LLMs can improve developer productivity, automation, or decision systems. Nice to haves: Experience with NoSQL databases (MongoDB, Cassandra, Redis). Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or More ❯

Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. Familiarity with SQL and NoSQL databases (Cassandra, Postgres), ideally combined with data collaboration platforms (Snowflake, Databricks) Strong DevOps mindset with experience in CI/CD pipelines, monitoring, and observability tools (Grafana or equivalent). Exposure to … analytics, reporting, and BI tools such as Apache Superset, Lightdash or OpenSearch Willingness to work across the stack by contributing to API development and, at times, UI components (Vue.js, Zoho, or similar). Excellent communication and collaboration skills, with the ability to work independently and adapt quickly to complex codebases. Bachelor's or Master’s degree in Computer Science More ❯

engineers and data scientists to improve ML model performance and predictive accuracy Ensure high-quality data powering AI-driven search and GenAI initiatives Manage complex, distributed data systems (Spark, Cassandra, Redshift) Collaborate across Product, Engineering, and Commercial teams to turn technical data insights into business value Your Skills & Experience You’ll come from a technical background, with prior experience More ❯

Science. Proven experience managing large-scale data platforms or complex data pipelines. Deep understanding of analytics, ML workflows, and data product development. Strong grasp of tools such as Spark, Cassandra, and Redshift. Comfortable discussing technical architecture and data systems with engineers. Strong communicator with the ability to explain complex concepts to non-technical stakeholders. Experience working within SaaS, digital More ❯

where you’ll oversee the design, development and delivery of resilient, high-availability systems that handle significant data workloads. You’ll work across a range of technologies including Riak, Cassandra, Couchbase, DynamoDB, Aerospike, Redis and MongoDB. Direct experience with NoSQL datastores is a bonus, but not expected. We’re looking for someone with a strong software engineering or data … Proven experience leading a software or data engineering team Strong understanding of distributed systems and scalable architectures Experience with one or more NoSQL or key-value data stores (e.g. Cassandra, Couchbase, DynamoDB, Aerospike, Redis, MongoDB, Riak) Background in server-side software engineering (Python, Java, C#, Go or similar) Familiarity with Linux environments and modern DevOps practices This is an More ❯