2 of 2 Permanent LAPP Stack Jobs in London

Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering … Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data … technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL / NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems More ❯

Processing & Optimization: Build efficient, high-performance systems by leveraging techniques like data denormalization , partitioning , caching , and parallel processing . Develop stream-processing applications using Apache Kafka and optimize performance for large-scale datasets . Enable data enrichment and correlation across primary, secondary, and tertiary sources. Cloud, Infrastructure, and Platform Engineering … Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data … technologies and automation strategies. Required Skills & Qualifications: 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL / NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems More ❯