26 to 50 of 260 Lakehouse Jobs in the UK

Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging ...

with stakeholders. Requirements: 5+ years of hands-on data engineering experience, ideally within a consulting or client-facing environment Hands-on experience with Databricks Lakehouse Platform Strong SQL skills and proficiency in Python Experience designing and deploying solutions in cloud environments Ability to quickly grasp diverse business domains ...

national security or another highly regulated environment. Knowledge of AWS, Azure, Microsoft Fabric or comparable cloud data platforms. Experience with data lakes, data warehouses, lakehouse architectures and real-time or event-driven data solutions. Understanding of APIs, microservices and modern systems-integration approaches. Familiarity with data cataloguing, master data ...

experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments.Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/CD, DevOps practices, and GDPR-compliant data governance.Experience delivering scalable cloud-based data ...

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 ...

largest organisations. This is a strategic architecture role focused on building modern, scalable data ecosystems from cloud data platforms and lakehouse architectures through to data engineering frameworks, governance models and advanced analytics capabilities. You'll work with senior stakeholders to define data strategy, establish target architectures and provide technical … production environments. Key Responsibilities Define enterprise data platform architectures across complex, multi-system environments Lead the design of modern cloud-native data ecosystems, including lakehouse, data warehouse and hybrid architectures Provide technical leadership across data engineering, analytics and AI transformation programmes Design scalable data pipelines, ETL/ELT frameworks ...

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 ...

Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern data platforms and architectures, including Databricks, Snowflake, and Lakehouse solutions. Ability to design and implement scalable data solutions that support reporting, analytics, and business decision-making. Some other highly valued skills may include ...

. 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 ...

will build scalable and resilient data solutions for games and related platforms. You may work on telemetry pipelines, analytics platforms, data warehouse and lakehouse design, reporting foundations, or backend integrations. You will be expected to speak directly with stakeholders and customers, clarify vague requirements, break down complex work, estimate ...

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 ...

initially until the end of the year. Developing and maintaining data pipelines to ingest data from legacy systems and operational platforms into the Azure Lakehouse environment. Designing and implementing data transformation processes using Databricks, supporting Bronze, Silver, and Gold data layers in line with Medallion Architecture best practices. 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 ...

hear from you if you offer a strong mix of any of the following: Data engineering on Microsoft Fabric and/or Azure - pipelines, lakehouse and warehouse, ETL/ELT, SQL and Python. Analytics and BI - Power BI, semantic modelling, governance and performance. Applied and Generative AI on Azure ...