Trino Power User / Analyst

Swiss Himmel GmbH; Basel; Vor Ort; CHF 110.000 - 150.000; Vollzeit

Zusammenfassung

Swiss Himmel GmbH in Basel, Switzerland, invites an experienced Trino Power User / Analyst to design and operate distributed data access platforms. You will work with Data Engineers to optimize queries, manage Trino on Kubernetes, and integrate diverse data sources like Hive, Iceberg, and Kafka.

The role requires 5+ years in distributed data systems, strong Trino expertise, and hands-on ops experience. Immediate start, 100% workload, permanent employment at Swiss Himmel GmbH.

Qualifikationen

• 5+ years of experience with distributed data systems.
• Hands-on experience with Trino or Presto cluster deployment and operations.
• Strong understanding of Trino architecture including coordinator/worker and planning.
• Experience with Kubernetes, Linux, and networking.
• Experience with Hive, Iceberg, and Kafka data sources.
• Scripting in Python or Bash.

Aufgaben

• Design, deploy, and operate Trino clusters on on-premises Kubernetes environments.
• Configure Trino catalogs and connectors for heterogeneous data sources.
• Integrate data sources including Hive, Iceberg, Kafka, and object storage.
• Ensure high availability, scalability, and fault tolerance of Trino clusters.
• Monitor performance, troubleshoot issues, and optimize queries.

Kenntnisse

Trino / Presto expertise

Distributed data platforms

Query performance optimization

Kubernetes & Linux

Python / Bash automation

Ausbildung

Bachelor’s degree

Tools

Kubernetes

Apache Iceberg

Kafka

Hive Metastore

Jobbeschreibung

Trino Power User / Analyst

Swiss Himmel GmbH Vacant since : 18.09.2026 Number of jobs : 1 4051 Basel (BS) 100% Immediately Permanent

Trino Power User / Analyst

Location: Basel, SwitzerlandCompany: Swiss Himmel GmbHEmployment Type: Full-timeExperience: 5+ yearsDomain: Data Platforms / Distributed Data Systems

About Swiss Himmel GmbH

Swiss Himmel GmbH is a Basel-based technology and consulting firm partnering with leading enterprises to modernize complex data, technology, and infrastructure platforms. We combine strong technical expertise with practical delivery experience to support data engineering, cloud, platform, and digital transformation initiatives.

About the Role

Swiss Himmel GmbH is looking for an experienced Trino Power User / Analyst to support the design, deployment, operation, and optimization of distributed data access platforms.

The ideal candidate will have strong hands‑on experience with Trino or Presto, Kubernetes‑based deployments, heterogeneous data sources, query performance optimization, and modern data architectures. You will work closely with Data Engineers and Analysts to improve data access, platform performance, and distributed analytics capabilities.

Key ResponsibilitiesTrino Platform EngineeringDesign, deploy, and operate Trino clusters on on‑premises Kubernetes environments.Configure and maintain Trino catalogs and connectors for heterogeneous data sources.Integrate data sources including Hive, Iceberg, Kafka, and object storage.Manage Trino cluster configuration, execution models, resource groups, and query planning.Ensure high availability, scalability, and fault tolerance of Trino clusters.Performance & Workload ManagementOptimize query execution performance through memory, CPU, spill, and partitioning configuration.Tune distributed queries using techniques such as joins, partition pruning, and predicate pushdown.Implement workload management using resource groups, query prioritization, and concurrency limits.Monitor query latency, cluster performance, resource usage, and overall system health.Troubleshoot query failures, resource contention, and system-level issues.Data Architecture & IntegrationSupport data access across modern data architectures including data lakes, lakehouses, and data mesh environments.Work with open table formats, particularly Apache Iceberg.Contribute to architecture decisions around data lakes, federated queries, and distributed analytics.Collaborate with Data Engineers and Analysts to establish best practices for efficient data access.Monitoring, Security & OperationsImplement and use observability solutions such as Prometheus, Grafana, and Dynatrace.Monitor, alert, and troubleshoot distributed data platforms.Support security and access control mechanisms including LDAP, Kerberos, and RBAC.Identify and resolve platform-level performance and availability issues.Contribute to platform reliability and operational improvements.

Required Qualifications & Experience5+ years of experience working with distributed data systems, data platforms, or big data infrastructure.Hands‑on experience with Trino or Presto cluster deployment and operations.Strong understanding of Trino architecture, including:Coordinator and worker architectureExecution modelQuery planningResource groupsExperience with Kubernetes, containerization, or VM-based distributed systems.Experience integrating data sources such as Hive, Metastore, Iceberg, and Kafka.Strong experience in distributed query optimization and performance tuning.Hands‑on experience with Apache Iceberg and open table formats.Experience with Kubernetes, Linux, and networking.Experience with monitoring, alerting, and troubleshooting distributed systems.Basic scripting/programming experience using Python and/or Bash.Strong system‑level debugging and problem‑solving skills.

Preferred QualificationsExperience working in financial services or other regulated environments.Familiarity with Java/JVM‑based systems.Experience with LDAP, Kerberos, and enterprise RBAC.Experience with Prometheus, Grafana, or Dynatrace.Experience working with data lake, lakehouse, or data mesh architectures.Experience contributing to federated query and distributed analytics solutions.

Key CompetenciesTrino / Presto expertiseDistributed data platformsQuery performance optimizationKubernetes and LinuxApache IcebergHive and Kafka integrationData lake and lakehouse architecturesPlatform monitoring and troubleshootingResource and workload managementPython / Bash automationStrong analytical and problem‑solving skillsCross-functional collaborationWhy Join Swiss Himmel GmbH?Work on modern distributed data platforms and enterprise data environments.Gain exposure to Trino, Kubernetes, Iceberg, Kafka, and modern data architectures.Work with experienced Data Engineering and Analytics teams.Contribute to large‑scale data platform and transformation initiatives.Collaborative and professional work environment.Long‑term growth opportunities within Swiss Himmel GmbH.Competitive Swiss compensation and benefits.

• Work location 4051 Basel (BS)


• Workload 100%


• Employment start Immediately


• Employment duration Permanent

• Qualification skilled


• Work experience More than 3 years


• Education Bachelor’s degree from a university of applied sciences or equivalent

• English Orally : Very good knowledge Written : Very good knowledge


• German Oraly : Good knowledge Written : Basic knowledge

• By email [e-mail]