76 to 100 of 135 Permanent Delta Lake Jobs

implementation experience with Microsoft Fabric (preferred), along with familiarity with Azure Synapse and Databricks. Experience in core data platform technologies and methods including Spark, Delta Lake, Medallion Architecture, pipelines, etc. Experience leading medium to large-scale cloud data platform implementations, guiding teams through technical challenges and ensuring alignment More ❯

implementation experience with Microsoft Fabric (preferred), along with familiarity with Azure Synapse and Databricks. Experience in core data platform technologies and methods including Spark, Delta Lake, Medallion Architecture, pipelines, etc. Experience leading medium to large-scale cloud data platform implementations, guiding teams through technical challenges and ensuring alignment More ❯

expert proven to deliver fast-paced releases. You will have worked with the latest Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Hands on experience of working in Databricks. In particular design and usage of the Delta Lake storage format. More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯

Spark , Beam , Flink , or Kafka Experience with cloud data warehouses (BigQuery, Snowflake) and orchestration tools (Airflow, Prefect, Dagster) Understanding of data lakehouse patterns (Iceberg, Delta Lake), vector stores , and graph databases Proven work with data quality, schema evolution, and observability at scale Mindset Systems thinker who prefers first More ❯

includes several high profile household name What you'll bring: Strong Python & TDD skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. More ❯

includes several high profile household name What you'll bring: Strong Python & TDD skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. More ❯

includes several high profile household name What you'll bring: Strong Python & TDD skills Expertise in modern data architecture (dimensional modelling, data mesh, data lake) & best practices (agile, CI/CD, IaC, observability). Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery). Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet/Delta/Iceberg. Want to learn more? Get in touch for an informal chat. More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits: At Databricks, we strive to provide comprehensive benefits and More ❯

and act as a multiplier. What we look for in you Understand, assess and effectively apply modern data architectures (dimensional model, data mesh, data lake). Experience in applying and using data observability methods effectively. Experience in modern software development practices (agile, CI/CD, DevOps, infrastructure as code … the following: Strong knowledge of SQL and Python programming. Extensive experience working within a cloud environment. Experience with big data technologies (e.g. Spark, Databricks, Delta Lake, BigQuery). Experience with alternative data technologies (e.g. duckdb, polars, daft). Familiarity with eventing technologies (Event Hubs, Kafka etc ). Deep … understanding of file formats and their behaviour such as parquet, delta and iceberg. What we offer We want to give you a great work environment; contribute back to both your personal and professional development; and give you great benefits to make your time at RVU even more enjoyable. Some More ❯

for you to demonstrate include: Desire to expand your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications More ❯

for you to demonstrate include: Desire to expand your cloud/platform engineering capabilities Experience working with Big Data Experience of data storage technologies: Delta Lake, Iceberg, Hudi Knowledge and understanding of Apache Spark, Databricks or Hadoop Ability to take business requirements and translate these into tech specifications More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits More ❯

strong track record in Public Sector, (GDS) digital projects and possess strong Azure data product knowledge including Azure Data platform capabilities such as: Azure Delta Lake, Azure Data Factory, Azure Databricks, Azure SQL Server, Azure ML and Power BI, You will have worked with multidisciplinary teams across Agile More ❯

years' experience building and deploying scalable, production-grade AI/ML pipelines in AWS and Databricks • Practical knowledge of tools such as MLflow, Delta Lake, and Apache Spark for pipeline development and model tracking • Experience architecting end-to-end ML solutions, including feature engineering, model training, deployment, and More ❯

data pipelines Build and maintain APIs to expose data to downstream applications Develop real-time streaming data pipelines Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform Contribute to developing More ❯

and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. More ❯

a fast paced and complex business environment. Must have solid experience and knowledge of Azure data platform technologies, particularly Azure Data Factory, Azure Data Lake Storage and Azure Databricks. Must have hands on experience of working in Databricks, in particular design and usage of the Delta Lake More ❯

days per week on site in Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, Delta Lake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs, ExpressRoute, private endpoints) Drive More ❯

days per week on site in Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, Delta Lake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs, ExpressRoute, private endpoints) Drive More ❯

days per week on site in Coventry. Key Responsibilities: Design & implement secure, scalable cloud infrastructure on Azure Build data platforms using Databricks, Fabric, ADLS, Delta Lake, CosmosDB Architect solutions for real-time ingestion from sources like SCADA, SAP PM, Oracle Implement secure networking (VNETs, ExpressRoute, private endpoints) Drive More ❯

looking for an accomplished MLOps Engineer with 3 years of professional experience in: Experience with Databricks and its ecosystem (Databricks Notebooks, Databricks Jobs, Databricks Delta Lake). Deep knowledge of MLFlow for model lifecycle management. Experience with CI/CD tools, specifically Azure DevOps. Experience with Machine Learning More ❯

standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯

standards, and drive team alignment Work closely with stakeholders to translate business needs into scalable solutions Tech environment includes Python, SQL, dbt, Databricks, BigQuery, Delta Lake, Spark, Kafka, Parquet, Iceberg (If you haven’t worked with every tool, that’s totally fine — my client values depth of thinking More ❯