8 of 8 Permanent Lakehouse Jobs in Leeds

Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics ...

technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics) Experience with data product thinking, domain-oriented ownership ...

engineers. The role Microsoft Fabric is becoming central to the organisations data environment. Youll work across: Designing and building solutions using Microsoft Fabric Fabric Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations ...

/SQL Data Warehousing ETL/ELT Processes Queries, stored procedures, scripts and database objects Data Reporting Microsoft Fabric Azure Data Factory Dataflows Data Lakehouse or Warehouse solutions Python Source Control (Git) Technical Leadership & Team Management You will be a Lead SQL Developer with good communication skills and have ...

expert-level Databricks and/or Snowflake and an Agile delivery mindset. On AWS, you’re fluent across the core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data … Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across the core services, for example: Storage & lakehouse: SQL, PostgreSQL, Cosmos, Blob, Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines ...

doing: Technical leadership Defining and owning the data engineering architecture patterns CreateFuture uses across client engagements — migration frameworks, streaming architectures, data integrity standards, and Lakehouse design Acting as the most senior technical authority on client engagements — making critical architecture decisions, resolving design disputes, and setting the bar for quality ...

mapping, reconciliation, dependencies, coexistence and phased cutover - Work with platform and solution architects to translate domain and logical models into implementable cloud schemas, pipelines, lakehouse, warehouse and integration patterns - Lead small teams or workstreams, communicate trade-offs to client stakeholders and mentor architects, analysts or engineers Essential skills - Proven … mapping, reconciliation, quality controls, coexistence and cutover planning - Understanding of how domain and logical models translate into physical cloud implementations, including schemas, pipelines, integration, lakehouse and warehouse patterns - Ability to work across business and technology teams and explain modelling, governance and implementation trade-offs to technical and non-technical ...

live coding assessment and a platform build during the interview Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning … agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...