7 of 7 Apache Superset Jobs in London

architecture and end-to-end system design Proven Experience with big data platforms at scale Deep knowledge of open-source data ecosystems, such as: Apache Spark Trino Airflow Apache Superset Cloud & Infrastructure Experience across cloud and on-premise environments Familiarity with AWS, GCP, and/or Azure ...

Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles ...

Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles ...

Requirements: Experience in a data science role, ideally within the fraud, risk, or payments domain Proficiency in Python and SQL (BI tools such as SuperSet, Tableau or PowerBI is a bonus) Hands-on experience in machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles ...

have experience with designing and owning data assets; you can build and maintain complex data sources and can leverage visualisation tools (Lightdash, Looker, Superset, Tableau etc.) to surface insights You understand the importance of data integrity, quality & governance. You know how to produce comprehensive data documentation You have stakeholder ...

Create leverage: frameworks, dashboards, and narratives that scales Technical Expectations: Excellent SQL proficiency and experience with data visualization tools like Looker, Grafana, Lightdash, or Superset Ability to build and manage data pipelines that are modularised and scalable, using tools like DBT and Airflow Familiarity with observability/reliability concepts ...

onboarding events, customer risk scores, alert triggers, and case outcomes. Evangelise and lead adoption of modern tooling (e.g., dbt, Airflow, Snowflake, Python, Looker/Superset) to improve reliability, speed, and trust in analytics. Drive implementation of best practices in data-pipeline instrumentation, monitoring, error-handling, and data-quality ...