1 to 25 of 179 Remote/Hybrid Lakehouse Jobs in England

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 ...

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 ...

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 ...

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 ...

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 ...

excellent opportunity. Key Responsibilities Design, build and maintain Power BI reports and dashboards aligned to business requirements. Develop and maintain data warehouse/lakehouse assets and ETL/ELT pipelines. Work with stakeholders to gather requirements, define KPIs and translate business needs into technical specifications. Develop semantic models ...

understanding the tradeoffs of at least one of the following Data Lake table/file formats: Delta Lake, Parquet, Iceberg, Hudi Experience working with lakehouse/medallion architectures in Databricks Experience with experimentation support tooling (such as Optimizely) A genuine curiosity about AI and a willingness to explore ...

foundations for a secure, scalable data environment. Key responsibilities Develop and maintain batch and streaming pipelines across multiple data sources. Build the warehouse or lakehouse architecture and data models supporting reporting and analytics. Establish checks and processes for data accuracy, traceability and governance. Deliver reliable datasets for financial ...

performance issues Support the ongoing enhancement and modernisation of enterprise data platforms Databricks & Data Platform Engineering Develop and support Databricks-based data solutions and Lakehouse architectures Utilise Delta Lake and Spark technologies to deliver scalable data processing capabilities Optimise distributed data processing workloads for performance and reliability Implement data ...

Must-Have Skills & Experience Expert-level experience with Databricks, PySpark, SQL, and Apache Spark Strong experience designing and delivering cloud-based data platforms and lakehouse architectures Hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and performance tuning Experience building batch and streaming data pipelines Strong knowledge ...

Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. Experience with data quality and/or and data lineage frameworks like Great Expectations, dbt data quality, OpenLineage or Marquez, and data drift ...

governance and self-service BI into practice, including ownership, quality standards, training and user adoption Microsoft Fabric experience, or transferable Azure Synapse or Databricks Lakehouse experience, including an understanding of medallion architecture Strong Power BI semantic modelling and DAX skills, sufficient to take responsibility for shared datasets and business ...

system requirements in complex environments. Broad understanding of modern data technology domains, including: Cloud data platforms (Azure, AWS, GCP). Data lakes, warehouses and lakehouse architectures. ETL/ELT processes and tooling. Streaming and event‐driven architectures. API‐led integration and data virtualisation. Understanding of data security‐by‐design ...

verbal communication skills, including the ability to explain findings clearly to non-technical audiences. Nice to haves: Experience with Microsoft Fabric components such as Lakehouse, Warehouse, Dataflows Gen2, Pipelines, notebooks or medallion architecture. Experience with Dataverse, Power Platform, Power Automate, Power Apps, Azure-based data services or other modern ...

expertise across every area listed below. We're primarily looking for strong Data & AI architecture experience across the Microsoft ecosystem. Data & Analytics Microsoft Fabric Lakehouse architecture patterns Power BI and self-service analytics Semantic modelling and reporting solutions Data platform modernisation and analytics strategy AI & Automation Agentic AI patterns ...

Python, PySpark, Microsoft Fabric, Databricks, Synapse, Delta/Parquet, Power BI, Agentic AI, Infrastructure as code, IaC, CI/CD, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client is a fast-growing, mission-driven global giant in the energy sector and they ...