1 to 25 of 84 Remote/Hybrid Lakehouse Jobs in the UK excluding London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Essential Significant hands-on experience in data modelling projects, with experience designing and delivering Gold-layer data products in Databricks or a comparable modern lakehouse platform Strong ability to understand business processes, information flows and source systems, translating them into conceptual, logical and physical data models that accurately represent ...

solving skills with the ability to translate business requirements into practical analytical solutions. It would be great if you had: Experience with Microsoft Fabric, Lakehouse architectures or other modern cloud-based analytics platforms. Knowledge of machine learning, artificial intelligence and forecasting techniques and their practical business application. If youre ...

technical requirements and outcomes. Ability to work effectively as part of a team and independently using own initiative. Desirable Microsoft Fabric, including Data Warehouse, Lakehouse and Data Pipelines. Git and Azure DevOps, or equivalent source-control and pull-request workflows. Power BI Project (PBIP) format. Tabular Editor. Power ...

Build and optimise data-processing solutions within AWS environments. Develop performant solutions using Java or Scala alongside advanced SQL. Support modern data lake and lakehouse architectures. Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases. Implement appropriate data ...

responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that ...

batch data processing. Develop and optimise cloud-based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables … PySpark) skills for data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse architectures and dimensional modelling. Experience delivering scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing ...

responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that ...

system data integrations. Strong technical documentation and communication skills. Experience remediating and improving existing/inherited infrastructure. Desirable Experience with modern data warehouse or lakehouse platforms . Experience with notebook-based development and distributed data processing frameworks. CRM integration experience. CI/CD pipeline configuration. Experience supporting mobile application ...