GIOS Technology
Data Engineer – Starburst/Trino
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer – Starburst/Trino in London, hybrid (3 days in-office), offering a competitive pay rate. Requires expertise in Starburst/Trino, cloud engineering (AWS, Azure, GCP), SQL, and modern data engineering tools. Banking experience preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Azure #Data Lake #SQL (Structured Query Language) #Data Governance #AWS (Amazon Web Services) #Security #Spark (Apache Spark) #Cloud #Metadata #Kafka (Apache Kafka) #dbt (data build tool) #Data Bricks #Data Engineering #Trino #Kubernetes #Storage #GCP (Google Cloud Platform) #Data Management #Airflow
Role description
I am hiring for Data Engineer – Starburst/Trino
Location: London - Hybrid / 3 days Per week in Office
• Hands-on expertise with Starburst/Trino setup, tuning, and administration.
• Strong cloud engineering background in AWS, Azure, or GCP, including Kubernetes.
• Proven experience managing end-to-end technical project delivery.
• Advanced proficiency in SQL, data lakes, object storage, and distributed query optimization.
• Experience with modern data engineering tools such as Spark, Data bricks, Airflow, dbt, and Kafka.
• Solid understanding of data governance, metadata management, and security frameworks.
Key Skills: Starburst/Trino / Data lake / AWS / Banking / Spark / Data bricks
I am hiring for Data Engineer – Starburst/Trino
Location: London - Hybrid / 3 days Per week in Office
• Hands-on expertise with Starburst/Trino setup, tuning, and administration.
• Strong cloud engineering background in AWS, Azure, or GCP, including Kubernetes.
• Proven experience managing end-to-end technical project delivery.
• Advanced proficiency in SQL, data lakes, object storage, and distributed query optimization.
• Experience with modern data engineering tools such as Spark, Data bricks, Airflow, dbt, and Kafka.
• Solid understanding of data governance, metadata management, and security frameworks.
Key Skills: Starburst/Trino / Data lake / AWS / Banking / Spark / Data bricks
