1 to 25 of 31 Trino Jobs in the UK

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 ...

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 ...

processing and performance tuningHands-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 ...

. 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/ ...

Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages - Go, Bash, Python ...

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 ...

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 ...

tracing. Message queues, event-driven architectures or data pipelines. 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. Cloud experience, ideally GCP, and cloud migration experience. Mentoring ...

tracing. Message queues, event-driven architectures or data pipelines. 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. Cloud experience, ideally GCP, and cloud migration experience. Mentoring ...

tracing. Message queues, event-driven architectures or data pipelines. 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. Cloud experience, ideally GCP, and cloud migration experience. Mentoring ...

give impartial advice on each. A strong understanding of data architecture patterns, including lakehouse, data warehouse, federated/virtualised data (e.g. Starburst/Trino), data mesh and data products. Solid knowledge of data modelling, including dimensional, medallion and domain‐oriented approaches, and of designing semantic layers for consistent business definitions. ...

give impartial advice on each. A strong understanding of data architecture patterns, including lakehouse, data warehouse, federated/virtualised data (e.g. Starburst/Trino), data mesh and data products. Solid knowledge of data modelling, including dimensional, medallion and domain-oriented approaches, and of designing semantic layers for consistent business definitions. ...

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 ...

determine the exact role and level we consider you for: Experience operating and managing data platform technologies like PostgreSQL, MySQL, MongoDB, OpenSearch, Kafka, Yugabyte, Trino, Superset, Atlas, Ranger, and Redis Experience with Linux systems administration, package management, and operations Experience with the public cloud or a private cloud solution like ...

distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel ...

standards, so that different kinds of data are queryable the same way and teams can bring the right engine, from BigQuery to Dataflow to Trino, to the job. The work has two parts. Hecate enables Iceberg for the Parquet datasets that already exist across Spotify, so teams get the benefits ...

SparkMLlib, and Python ML libraries (scikit‐learn, XGBoost), including modeldeployment. Design and develop highly scalable, Real time systemsusing Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) Build robust data ingestion and transformationframeworks using Java, Spark, Python, and shell scripting for ingestingmulti model data(image, audio ...

below) is advantageous:* Kotlin* Cloud Technologies (Kubernetes, Open Shift)* Messaging Technologies (Kafka, Solace, TIBCO)* Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3)* Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana)**Recommended Qualifications:*** Proven relevant experience in Apps Development or systems analysis role* Extensive experience system ...

products. Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience applying design thinking, prototyping, user research, or developer-experience principles to technical platforms. Interest in AI-assisted developer workflows ...

products. Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience applying design thinking, prototyping, user research, or developer-experience principles to technical platforms. Interest in AI-assisted developer workflows ...

distributed data environments, Starburst helps enterprises power AI and analytics without the cost and complexity of traditional data consolidation. With open standards including Trino and Apache Iceberg, Starburst enables trusted access to complete enterprise context while helping organizations avoid vendor lock-in. Leading global enterprises trust Starburst to fuel ...

experience: Depending on the role, we're interested in experience across: Python and SQL, with Go also desirable DataHub, including catalogue, metadata and lineage Trino/Starburst Dell Data Lakehouse JupyterHub PGVector OpenSearch Entra ID/OIDC FluxCD/Argo CD Helm Data and AI governance Platform reliability and operations ...

experience: Depending on the role, we're interested in experience across: Python and SQL, with Go also desirable DataHub, including catalogue, metadata and lineage Trino/Starburst Dell Data Lakehouse JupyterHub PGVector OpenSearch Entra ID/OIDC FluxCD/Argo CD Helm Data and AI governance Platform reliability and operations ...

below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) Desirable Criteria: Background of delivering software using an iterative Agile approach. Previous experience and knowledge ...