101 to 125 of 178 Delta Lake Jobs in the UK

cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge ...

cloud databases Proven track record with complex data migration projects (terabyte+ datasets, multiple legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge ...

secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications, capabilities, and skills Experience with data lakehouse architectures using Delta Lake, Apache Spark, or similar open‐source frameworks Familiarity with AWS‐native data services such as Glue, Lake Formation, Redshift, or Athena ...

scalable data solutions. Strong hands-on experience with Microsoft Fabric and Databricks. Strong programming capability across PySpark and T-SQL. Experience working with Delta Lake, Lakehouse architectures and modern cloud data platforms. Understanding of data quality frameworks, testing approaches and governance principles. What's on Offer Salary ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent (Hadoop, Kafka, Flink)Experience leading technical customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering ...

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

legacy operational platforms. Experience with regulatory, client or operational reporting. Experience supporting data migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing ...

data fidelity. Collaborate with cross-functional teams to align data architecture with financial regulations (e.g., GDPR, Basel III, MiFID II). Drive adoption of Delta Lake , Apache Spark , and MLflow for advanced analytics and machine learning use cases. Provide technical leadership and mentoring to data engineers and analysts ...

Skills & Experience: Hands-on experience with Databricks and Microsoft Fabric Experience building and running production-grade pipelines Strong PySpark and SQL skills Experience with Delta Lake and Lakehouse architectures Good grasp of data modelling, orchestration and workflow automation Comfortable working with structured and semi-structured data (Parquet, JSON ...

engineering and productionising machine learning models Strong hands-on development skills across Python, PySpark and SQL Commercial experience working with Databricks, MLflow and Delta Lake Proven experience building and operating distributed data and machine learning pipelines Experience taking Data Science models from notebooks or development environments into production ...

designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache SparkTM, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering ...

including performance tuning (partitioning, shuffle optimization, caching), troubleshooting, and designing scalable batch/stream processing patterns. Deep lakehouse and data platform expertise(e.g., Delta Lake concepts, schema evolution, data quality frameworks, lineage/metadata, and governance patterns) applied in production environments. Strong DevSecOps and platform engineering capability, including ...

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

clearly articulate what modern features they used recently and why (platform evolution awareness is essential for this role). Should Have Strong command of Delta Lake and performance patterns: MERGE/CDC strategies, partitioning/file sizing, OPTIMIZE/ZORDER, VACUUM, table maintenance automation. Production architecture practices: Environment ...

analytical modelling and reporting. Familiarity with cloud platforms (Azure or AWS), particularly in hybrid data environments. Experience working with data Lakehouse technologies (e.g. Delta Lake, Databricks, or similar platforms). Be able to travel to programme and customer meetings across the UK as required. Security cleared or ability ...

discussions, including vendor conversations and the technical sections of proposals Desirable Experience with NHS or other routine healthcare data at patient level Unity Catalog, Delta Lake and medallion structure, bronze to silver to gold Exposure to dbt and dimensional modelling Experience contributing to vendor or partner relationships, such ...

Azure Databricks Data Engineer to design, develop, deploy, and optimize scalable data solutions on Microsoft Azure. You will build production-grade data pipelines with Delta Lake, Unity Catalog, and Databricks tools. The role requires hands-on expertise in PySpark, Python, SQL, and Spark architecture, plus experience with GitLab … based CI/CD, Databricks Asset Bundles, and Azure Data Lake Storage. #J-18808-Ljbffr ...

structure data What we are looking for: Proven Data Engineering experience. Experience building production-grade pipelines at scale Proven experience with Databricks, including Delta Lake and Unity Catalog Strong Python and SQL Strong experience with Azure cloud data services This is an exciting opportunity for an experienced Data ...

performance, cost and standards-compliance metrics, using them to guide roadmap priorities and architecture governance decisions. PERSONAL PROFILE Deep expertise in Databricks (Unity Catalog, Delta Lake, Spark, Databricks SQL) or equivalent Lakehouse platforms, including administration, cost management, and performance optimisation. Strong understanding of cloud-native architecture principles, cost ...

solid understanding of agile delivery practices including CI/CD, Application Resiliency, and Security. Preferred qualifications, capabilities, and skills Production experience with Databricks (Delta Lake, Unity Catalog, MLflow, Databricks Jobs) and workflow orchestration with Apache Airflow. Strong working knowledge of both supervised and unsupervised techniques, including tree-based ...

Disclosure and Barring Service)Mandatory SkillsAzure Databricks Platform EngineeringHands-on implementation and troubleshooting of Azure DatabricksDatabricks Serverless configuration and workload optimisationDatabricks SQL and Delta Lake developmentCluster management, compute policies, autoscaling, and workload monitoringData EngineeringStrong Python, PySpark, and SQL development skillsDesign and build ingestion and transformation pipelinesFull and incremental ...

grade data pipelines, and strong experience with Python, Scala, or similar programming languages. Experience working with modern cloud data platforms such as Databricks (preferred), Delta Lake, Snowflake, or BigQuery. Proven experience driving complex cross‐functional initiatives from concept through production. Experience leading technical architecture discussions and engineering design ...

Experience owning delivery roadmaps, OKRs, and budgets for an architecture or engineering function. Strong technical foundation across the data platform stack: Databricks lakehouse architecture (Delta Lake, medallion patterns), Azure Synapse (star schemas, dedicated pools), and data pipeline orchestration (ADF or Databricks Workflows). Experience with data quality frameworks ...