Portsmouth, Hampshire, England, United Kingdom Hybrid / WFH Options
Computappoint
operations Container Orchestration : Proven track record with Kubernetes/OpenShift in production environments Big Data Ecosystem : Strong background in Hadoop, Hive, Spark, and cloud platforms (AWS/Azure/GCP) Systems Architecture : Understanding of distributed systems, high availability, and fault-tolerant design Security Protocols : Experience with LDAP, Active Directory, OAuth2, and Kerberos authentication Unix/Linux Proficiency : Advanced command-line More ❯
in distributed systems, high availability, and enterprise leadership experience Proficiency in modern data platforms (Databricks, Snowflake, Kafka), container orchestration (Kubernetes/OpenShift), and multi-cloud deployments across AWS, Azure, GCP Advanced knowledge of Big Data ecosystems (Hadoop/Hive/Spark), data lakehouse architectures, mesh topologies, and real-time streaming platforms Strong Unix/Linux skills, database connectivity (JDBC/ More ❯
enhancing technologies Experience with databases (SQL & NoSQL - Oracle, PostgreSQL, MongoDB), data warehousing, and ETL/ELT tools Familiarity with big data technologies (Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, GCP), and API integrations Desirable: Data certifications (TOGAF, DAMA), government/foundational data experience, cloud-native platforms knowledge, AI/ML data requirements understanding, data federation/cached services familiarity, data More ❯
platforms into BigQuery Structuring clean, queryable data models to support analytics and reporting Collaborating with analysts to deliver insightful dashboards via Looker Establishing data governance and quality processes Requirements: GCP (BigQuery), but open to other cloud backgrounds ETL: dbt, Apache Airflow, or similar BI: Looker (preferred), or other BI tools Languages: SQL, Python, Java Experienced data engineer, with strong ETL More ❯
data is available for reporting Manage data quality checks and the data validation process To be successful in this role you will have. A strong Cloud Data Engineering background - GCP (preferable), Azure or AWS Experience creating robust data pipelines and working with orchestration tools Strong data warehousing and data modelling experience Experience working with BI tools - Looker (preferable), Tableau, Power More ❯
