8 of 8 Trino Jobs in the UK excluding London

performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration ...

. Skills and knowledge Demonstrable experience designing, deploying, and operating big data platforms at scale. Hands‐on experience with OSS data ecosystems (e.g., Spark, Trino, Airflow, Apache Superset, and similar technologies). Knowledge of cloud platforms and traditional on‐premise hosting; hands‐on experience with Azure, AWS and/ ...

Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow. Demonstrated ability to work autonomously, take ownership ...

operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi‐cloud environments. Demonstrated ...

Strong experience with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public ...

queues, event-driven architectures or data pipelines. Also Welcome Kubernetes. Deploying, running or debugging workloads, including K3s, RKE2 or OpenShift. Data at scale. Spark, Trino, Parquet, Iceberg or similar columnar and distributed query tooling. GPU workloads and serving models on-premise. Open source contributions or a portfolio worth a look. ...

Electrical Engineering or a related field, or equivalent practical experience. Experience with AWS or GCP, Kubernetes, SQL warehouse and batch-processing technologies such as Trino, Presto or Spark, Kafka or other streaming systems, and Go or Python would be useful. Node.js experience is a plus. We value transferable evidence over ...

into canonical models across multiple products. Strong grounding in Lakehouse architecture trade-offs: table formats, query engines, ingestion patterns (Iceberg vs Delta; Dremio vs Trino vs Snowflake; streaming vs batch). Hands-on experience with: Dremio, Snowflake, or Databricks AWS data services (S3, Glue, Athena, Lake Formation, or equivalent) NATS ...