6 of 6 Remote/Hybrid Permanent Trino Jobs

building large scale data pipelinesStrong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDBFamiliarity with containerized environments (Docker, Kubernetes).Good test driven development disciplineReasonable proficiency with ...

engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/RayExperience with high-performance data stores and query engines like Trino/SnowflakeExperience with financial concepts such as Equities/Options/FuturesDemonstrable evidence using agentic frameworks for Software development and experience with AI-native solutions ...

embeddings.You have experience with uplift modelling and conditional average treatment effects for personalisation. You are familiar with dbt, Snowflake, AWS (S3, SageMaker), Airflow, and Trino/data lake stacks.You have prior CRM/marketing/e-commerce ML experience — customer lifecycle segmentation, campaign attribution, contact strategy optimisation.Office: London, UKSalary range ...

visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).Excellent communication and collaboration skills to effectively bridge the gap between technical ...

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 ...

batch, and file-based vendor feeds (SFTP/managed file transfer), landing data from Product Engineering services into the lakeThe lake/lakehouse — Parquet, Trino, table formats, partitioning, and the physical and analytical modelling underneathThe serving/cache tier — powering customer-facing screeners and analytics at production latency and concurrencyData … evolution, backfillsStrong on schema registries and contracts (Avro/Protobuf, evolution, breaking-change handling across producers and consumers) — not just dimensional modellingFluent in Parquet, Trino, streaming (Kafka/Flink), and lakehouse platforms (Snowflake/Databricks), and the throughput and cost engineering that comes with scaleProduct and governance instincts: multi-tenancy ...