1 to 25 of 499 Lakehouse Jobs in the UK

understanding of data engineering principles, including pipeline design, ETL/ELT, ingestion patterns, orchestration, and integration approaches. Experience designing or governing modern data architectures (lakehouse, warehouse, data mesh, data fabric). Hands-on experience with one or more cloud data ecosystems: Azure (Data Factory, Synapse, Fabric, ADLS, Databricks ...

concepts clearly to both technical and non-technical audiences Innovation & Emerging Technologies: Apply modern data architecture patterns (Cloud Native, streaming/batch ingestion, Data Lakehouse). Evaluate emerging data engineering and platform technologies to drive continuous improvement and innovation. Technical Expertise Recognised expert in Data Architecture, Data Modelling, Engineering ...

concepts clearly to both technical and non-technical audiences Innovation & Emerging Technologies: Apply modern data architecture patterns (Cloud Native, streaming/batch ingestion, Data Lakehouse). Evaluate emerging data engineering and platform technologies to drive continuous improvement and innovation. Technical Expertise Recognised expert in Data Architecture, Data Modelling, Engineering ...

Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics ...

Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics ...

data platforms and modern data services. Experience with platforms such as Snowflake, Microsoft Fabric, Databricks or equivalent. Strong understanding of data modelling, data warehousing, Lakehouse and modern data architecture. Experience with data governance, data quality and metadata management. Exposure to AI/ML integration within data solutions ...

Experience Experience in a data engineering role, ideally within a regulated environment Knowledge of the following is required: Modern Data platform concepts; Data Lake, Lakehouse, Data Warehouse, Data Vault ETL/ELT processes and designing, building and testing data pipelines Building data transformations using Python/PySpark Azure Cloud ...

relational databases Hands-on experience building ETL/ELT pipelines and integrating complex data sources Proven experience with Microsoft Fabric, including Data Factory, Lakehouse, Data Warehouse, Real-Time Analytics, and data orchestration capabilities Experience designing and implementing cloud-based data platforms using Azure, AWS, or Google Cloud Knowledge ...

Factory, Azure Synapse Analytics, Databricks, Snowflake, Microsoft Fabric (preferred)* Strong SQL and database expertise across relational and non-relational platforms.* Experience designing Data Lakes, Lakehouse architectures, and Enterprise Data Warehouses.* Knowledge of data governance tools and frameworks.* Familiarity with API integration, messaging platforms, and event streaming technologies.* Strong understanding ...

Highly Desirable Experience in the utilities, water, or regulated infrastructure sector — understanding of operational data, compliance requirements, and safety-critical system considerations Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion Experience with Azure Data Factory or equivalent ETL/ELT tooling ...

Highly Desirable Experience in the utilities, water, or regulated infrastructure sector — understanding of operational data, compliance requirements, and safety-critical system considerations Familiarity with Lakehouse Federation in Azure Databricks — federating queries across external data sources without full ingestion Experience with Azure Data Factory or equivalent ETL/ELT tooling ...

requirements Key Skills: Advanced knowledge of cloud data platforms: Azure, AWS, and Google Cloud Platform (GCP) Strong experience with data warehousing, data lakes, and lakehouse architectures Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java ETL/ELT design and data ...

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 ...

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 ...

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 ...

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 ...

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 ...

Microsoft Foundry platformsVersion control and CI/CD experience with GitHubUnderstanding of ETL/ELT optimization patterns beyond Azure stackKnowledge of data mesh or lakehouse architectural conceptsHands-on exposure to dbt (data build tool), MKDocs and similar developer productivity toolingWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including ...

Fabric is becoming central to the data environment, supporting operational, reporting and analytics requirements across the business. You'll work across: Microsoft Fabric, including Lakehouse, Warehouse and OneLake Data pipelines and ETL/ELT Power BI SQL and data modelling Azure Data Lake Internal and third-party API integrations ...

Experience developing and orchestrating data pipelines using technologies such as DBT, Apache Spark, Airflow, Dagster, Kafka, Flink, or equivalent tooling. Solid understanding of data lakehouse, warehouse, and medallion architecture patterns. Experience applying DevOps and DataOps best practices including CI/CD, automated testing, monitoring, observability, and release management. Experience ...

Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics ...

Architect modern data platforms using Microsoft Fabric, Azure Databricks, Azure Synapse, Azure Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics ...

Develop ETL/ELT solutions using PySpark and SQL. Build and optimise data integration solutions using Azure Data Factory and Microsoft Fabric. Design scalable lakehouse and data warehouse solutions. Optimise data performance, reliability and quality across cloud platforms. Collaborate with data scientists, analysts and software engineers to deliver business ...

optimize batch and streaming data pipelines using services such as Dataflow, Dataproc, Pub/Sub, and Cloud Composer. Architect data lake, data warehouse, and lakehouse solutions, including data modeling and performance tuning in BigQuery. Provision and manage data infrastructure using Terraform and CI/CD pipelines. Implement data governance ...