5 of 5 Permanent Lakehouse Jobs in the City of Westminster

technical, or operational objectives into manageable tasks and activities Preferred qualifications, capabilities, and skills Experience delivering on modern data stacks (e.g., cloud data platforms, lakehouse/warehouse patterns, streaming platforms) and partnering with architecture on scalability, resiliency, and cost-to-serve. Experience with governance and controls: data access controls ...

drive continuous improvement and effective delivery outcomes. Desirable experience includes: Experience working within cloud-based data and analytics environments, including AWS, Databricks and Lakehouse architectures. Familiarity with Tableau reporting and analytics solutions. Understanding of Data Governance, Data Quality and associated delivery standards. Knowledge of SAP data environments, including ...

support continuous improvement and effective team delivery. Desirable experience includes: Experience working within cloud-based data and analytics environments, including AWS, Databricks or Lakehouse architectures. Familiarity with Tableau reporting and analytics solutions. Understanding of Data Governance, Data Quality and associated delivery standards. Knowledge of SAP data environments, including ...

tooling — VS Code, GitHub Copilot — and the modern developer environment Hands-on with data-quality tooling, metadata platforms, lineage frameworks, and modern data platforms (lakehouse/warehouse patterns, distributed processing, APIs/data services) #J-18808-Ljbffr ...

team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, and a culture that values ownership and continuous improvement. This role offers meaningful scope to influence platform standards … e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and 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 ...