26 to 50 of 221 Lakehouse Jobs in England

Senior Software Engineer on the Data Engineering team, you are a core builder of the Caspian Data Platform — the company's centralized lakehouse that powers analytics, financial reporting, product intelligence, and data-driven operations across every business unit. You own the design and delivery of production-grade pipelines ...

take ownership of getting good quickly. People who wait to be trained will find this uncomfortable.Nice to have: Experience building Data Mesh or Lakehouse architectures.Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks.BenefitsWhat it's like to work ...

experience as an Enterprise or Lead Architect in AI Data programmes, preferably within banking or financial services. Strong understanding of data architecture (data lakes, lakehouse, data warehouses, streaming, metadata, governance). Hands‐on experience with AI/ML/GenAI architectures, including model lifecycle management and MLOps. Experience designing ...

tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure to customer data platforms (CDPs ...

tests in a marketing context Desirable Experience with dbt (Cloud or Core) for transformation layer development Familiarity with Databricks or similar modern data lakehouse platforms Experience with Power BI (or similar data visualisation tool) Experience in a regulated financial services or fintech environment Exposure to customer data platforms (CDPs ...

. Knowledge of data governance, quality controls, and testing practices. Experience working within large-scale enterprise environments. Desirable Knowledge of Iceberg or modern data lakehouse architectures. Experience with traditional ETL tools such as Informatica, ODI, Talend, or SSIS. Exposure to AI-enabled data engineering practices. ...

developing data models to deliver management information outcomes. Experience developing ETL procedures from multiple data sources to one data source. Experienced in developing Data Lakehouse's in Microsoft Fabric. Adept at building collaborative technical and business working relationships to deliver outputs and outcomes. Experienced in authoring technical documentation, able ...

data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent. Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms. Strong understanding of analytical data modelling, dimensional modelling, semantic modelling and data product design. Experience designing data structures and models that support reporting ...

Experience building and designing products that use both real-time and batch data at scale, and an understanding of the underlying data architecture (e.g. lakehouse, star schema). Ability to write and validate SQL queries, and to trace data flows end-to-end to ensure data quality. Awareness ...

LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability Infrastructure-as-code: Terraform and Ansible ...

modern data platforms using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure SQL and Data Lake technologies . Proven experience implementing Lakehouse, Data Warehouse and Medallion Architecture patterns, including data modelling, governance and performance optimization . Expertise in building scalable data ingestion, transformation and orchestration pipelines … using Microsoft and/or Azure Databricks technologies. 3-5 years' experience in a client‐facing consultancy or professional services environment. Strong knowledge of Lakehouse, Data Warehousing, data modelling and modern analytics architectures. Experience building data pipelines, integration solutions and cloud-based data platforms. Excellent stakeholder management, workshop facilitation ...

comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt, and applies data security and GDPR principles in platform-level architectural decisions Experience building ...

services such as S3, Glue, EMR, and PySpark . Experience defining data standards, governance frameworks, and architectural roadmaps. Desirable Experience with Iceberg and modern lakehouse architectures. Exposure to AI-enabled data platforms and automation. Previous experience leading data transformation or cloud migration programmes. Apply now to join a high ...

business objectives. Skills & Experience: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly ...

business objectives. Skills & Experience: Enterprise Data Architecture. Databricks. Snowflake. AWS and/or GCP. Designing modern cloud data platforms. Data Lakes, Data Warehouses and Lakehouse architectures. Data governance, security and architecture best practices. AI, Machine Learning or Data Science platforms (highly desirable). Banking, Financial Services or other highly ...

Source-to-target mapping Data transformation design Data reconciliation and validation techniques Cloud & Architecture Experience with cloud platforms (Azure, AWS, or GCP) Understanding of lakehouse architectures and hybrid data platforms Desirable Experience with medallion architecture (bronze/silver/gold layers) Knowledge of data governance tools (e.g., Purview, Collibra ...

Lead Solution Architect - Data Analytics include: Experience working with architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return ...

Lead Solution Architect - Data Analytics include: Experience working with architecture frameworks and methodologies (e.g. TOGAF, Zachman) Broad knowledge of enterprise data technologies, including lakehouse and medallion architectures, legacy data platforms and data engineering (ETL, ELT, CDC) Experience working within large, complex or highly regulated organisations In return ...

building production-grade data platforms.Extensive experience implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or equivalent DevOps tooling.Deep understanding of Data Lakehouse architecture, data modelling, security, and GDPR-compliant solution design.Experience using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight, governance ...

with experience working with distributed data processing frameworks.Expertise delivering end-to-end data pipelines across ingestion, transformation, and serving layers within modern Data Lakehouse architectures.Experience with schema design, GDPR-compliant data solutions, DevOps tooling, and CI/CD processes.A collaborative approach to engineering with experience using AI-enabled tools ...

grade data platforms. Extensive experience implementing CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or equivalent DevOps tooling. Deep understanding of Data Lakehouse architecture, data modelling, security, and GDPR-compliant solution design. Experience using AI-enabled tools responsibly to improve engineering efficiency while maintaining appropriate human oversight ...

assessment, heterogeneous migration (for example Oracle/PostgreSQL to Azure), and modernisation tooling.Hands-on experience building end-to-end analytics solutions in Microsoft Fabric — Lakehouse/Warehouse, Data Factory pipelines, Spark and notebooks, semantic models, Power BI, and Real-Time Intelligence — or comparable modern data platforms such as Databricks.Understanding ...

Science, Data Science, or equivalent experience. 5+ years of experience in Data Engineering, Analytics Engineering, or related fields. Hands-on experience with Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks) and/or Databricks. Strong proficiency in SQL, Spark, and Python, with experience across enterprise systems ...

analysts on good design practice, documentation quality and effective stakeholder communication. Key Knowledge, Skills and Experience Strong experience designing modern data platforms using Lakehouse and warehouse patterns across batch and streaming use cases. Deep understanding of cloud‐based data services (e.g., Azure, AWS, GCP) and big‐data technologies such ...

NoSQL, Databricks etc.)You have familiarity working with modern software engineering tools (Git, CI/CD pipelines), cloud technologies (e.g. AWS, Azure) and Data Lakehouse ArchitecturesYou have experience of designing and implementing technical data governance strategies with a focus on data quality and discoverable metadata, with practical knowledge ...