least 10 years' experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self … The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks DeltaLake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯
least 10 years' experience in Business Intelligence, with 5+ years in a BI leadership role in a global or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self … The Head of Data Engineering & Insight will work within a modern, cloud-based BI ecosystem , including: Data Integration: Fivetran , HVR, Databricks , Apache Kafka, Google BigQuery , Google Analytics 4 Data Lake & Storage: Databricks DeltaLake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine More ❯
real interest in doing this properly - not endless meetings and PowerPoints. What you'll be doing: Designing, building, and optimising Azure-based data pipelines using Databricks, PySpark, ADF, and DeltaLake Implementing a medallion architecture - from raw to curated Collaborating with analysts to make data business-ready Applying CI/CD and DevOps best practices (Git, Azure DevOps More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
WüNDER TALENT
solution design. Requirements Proven experience as a Data Engineer in cloud-first environments. Strong commercial knowledge of AWS services (e.g. S3, Glue, Redshift). Advanced PySpark and Databricks experience (DeltaLake, Unity Catalog, Databricks Jobs etc). Proficient in SQL (T-SQL/SparkSQL) and Python for data transformation and scripting. Hands-on experience with workflow orchestration tools More ❯
in the UK, EU and other countries in Latin America. We are looking for someone who has: At least 3 years experience with Databricks data platform (setting up workspaces, deltalake, ingestion and transformation workflows, data catalogs, ) Solid experience in architecture design and technical leadership Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other More ❯
in the UK, EU and other countries in Latin America. We are looking for someone who has: At least 3 years experience with Databricks data platform (setting up workspaces, deltalake, ingestion and transformation workflows, data catalogs, ) Solid experience in architecture design and technical leadership Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other More ❯
unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯
unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯
unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯
unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, DeltaLake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the More ❯
