9 of 9 Spark SQL Jobs in London

producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data … related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation ...

producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data … related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation ...

right in. You’ll Work With Azure Data Factory, Data Lake, Key Vault, Azure Functions Databricks, Delta Lake, Unity Catalog, PySpark, Spark SQL Medallion architecture, Lakehouse patterns, distributed compute CI/CD pipelines using Azure DevOps Cross‐functional teams in underwriting, actuarial, delegated authority, exposure management … experience with Azure Data Services and Databricks Solid understanding of Delta Lake, Medallion architecture and Lakehouse patterns Proficiency in Python, PySpark and Spark SQL Experience building CI/CD pipelines using Azure DevOps Knowledge of data governance, lineage, access controls and FinOps Confident communication skills ...

modernisation of existing data estates. 🔧 Key Responsibilities Design and build scalable data pipelines using Databricks Develop and optimise ETL/ELT workflows using Spark (PySpark/SQL) Support migration and modernisation of legacy data platforms into Databricks Improve performance, reliability and cost efficiency across data workloads … best practices across delivery ✅ What We’re Looking For Strong hands-on experience with Databricks in a Data Engineering capacity Solid experience with Spark (PySpark/Spark SQL) Proven track record building and optimising data pipelines (ETL/ELT) Experience working within cloud environments ...

cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming ...

cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming ...

background in data modelling and architecture (Star Schema, Data Vault, Medallion), with a focus on performance and governance Hands-on expertise with PySpark, Spark SQL, CI/CD, Git, and working closely with BI teams on Power BI semantic models Experience contributing to platform standards ...

London or London Market insurance sector Deep understanding of Delta Lake, Medallion architecture, Lakehouse patterns and data modelling. Strong Python, PySpark and Spark SQL capability Solid understanding of data governance Proven track record of ownership, delivery and operating effectively in fast-paced environments. What ...

experience in a data science or statistical role. Expertise in advanced analytics techniques including machine learning, optimisation and segmentation. Strong proficiency in Python, SQL and Spark SQL. Experience working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation ...