401 to 425 of 501 Lakehouse Jobs in the UK

risk are contested Architecture ownership Set and own the target data architecture: ingestion, storage, transformation, serving, governance Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down Define non-functional requirements, cost models and FinOps guardrails alongside … other client-facing setting comfortable being accountable to a paying client, not only an internal stakeholder Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations ...

risk are contested Architecture ownership Set and own the target data architecture: ingestion, storage, transformation, serving, governance Make and document the significant decisions (lakehouse vs warehouse, batch vs streaming, build vs buy) with the trade-offs written down Define non-functional requirements, cost models and FinOps guardrails alongside … other client-facing setting — comfortable being accountable to a paying client, not only an internal stakeholder Data modelling depth across dimensional, Data Vault and lakehouse/medallion approaches, with a view on when each is most appropriate Data governance in practice: catalogue, lineage, access control, quality, and Regulatory obligations ...

accountable for the technical integrity, scalability and deliverability of the data solutions designed. Design end-to-end data management solutions: data architectures, platform and lakehouse designs, data pipelines and integration patterns, data models, migration approaches and target-state blueprints. Define and apply standards for data quality, metadata, lineage … Experience with large‐scale platform migration or modernisation programmes (e.g., legacy warehouse or analytics estate migrations to cloud). Exposure to AI-native and lakehouse platforms and services (e.g., Azure AI Foundry, Vertex AI, Bedrock, Databricks) from a data architecture perspective. Relevant cloud or platform certifications (e.g., AWS/ ...

team ensures that all analytics, machine learning, and product features are built on unified, governed, and production-grade data assets in Preply's Lakehouse — including the extraction, normalization, and generation of structured data from Preply's unstructured assets, forming a durable data moat for AI-driven products. The team … career development, while creating an inclusive and collaborative team environment. Define and drive the long-term vision for Preply's data foundation — the Lakehouse, ingestion layers, data contracts, enrichment , and governance — ensuring alignment with company objectives and the needs of analytics, ML, and product teams. Identify and prioritize high ...

Project description Build reusable platform capabilities and data products that let quantitative researchers discover, access, and consume data across a complex, disparate landscape, and then accelerate the good prototypes to production. Responsibilities Design, build, and ...

PHMG is continuing to develop and mature its data capability, focusing onmodernisingour data platform and enhancing the way we work. As part of this continued development, we are looking to strengthen our Data Engineering team ...

About Aspire At Aspire Technology Solutions, we are a leading UK provider of managed IT, cyber security and modern workplace solutions. We deliver cyber security, cloud, connectivity, managed services and unified communications solutions that help ...

Location: Middlewich, Cheshire (1 day per week) Working from home: 4 days per week Reports to: Director of Operations, Screening Make data matter in healthcare At InHealth, we deliver vital diagnostic and screening services on ...

teams to deliver resilient data services. The role emphasizes automation, improved observability, incident response and continual improvement as we evolve our data platforms and lakehouse #J-18808-Ljbffr ...

security and evolution of our database platforms. You will manage SQL Server and Azure SQL, and help modernise toward PostgreSQL, cloud-native services and lakehouse architectures. This is a hands-on role working with Platform, Data and Operations teams to ensure resilient, scalable data services. You will implement monitoring ...

with an initial 6 months and strong extension potential, onsite as required with hybrid attendance. You will design, govern and deliver a robust Databricks Lakehouse, implement Unity Catalog governance, and drive production-grade pipelines while ensuring UK-sovereign data handling and cost visibility. Start ASAP. #J-18808-Ljbffr ...

catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience applying design thinking, prototyping, user research, or developer-experience principles to technical platforms. Interest in AI-assisted developer workflows, agentic systems, semantic ...

Have Experience in sports betting, trading platforms, or financial systems. Experience building real‐time alerting or monitoring systems. Exposure to modern data platforms or lakehouse architectures. Equal Opportunity Statement We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics such ...

What You’ll Be Doing We are seeking an experienced Business Intelligence Data Engineer & Report Writer with 3+ years of strong SQL experience, deep Power BI expertise, and hands‐on familiarity with Microsoft Fabric tenants. ...

SMBC: A trusted partner for the long term Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one ...

Ltd. is seeking a Data Engineering Manager to lead our data platform and drive data-driven decisions across the business. You’ll shape the lakehouse architecture, own the roadmap, and mentor a team of four engineers to deliver scalable data solutions. You'll collaborate with platform and product leaders ...

data platform. Take ownership of complex data engineering solutions from design through to production. Contribute to technical design and architecture decisions across data warehouse, lakehouse and data integration solutions. Champion strong engineering practices across source control, CI/CD, testing, documentation, monitoring and error handling. Work with other Data … problem-solving skills. Experience supporting or mentoring other engineers and working effectively within cross-functional teams. Nice-to-have experience Microsoft Fabric, including Lakehouse, Warehouse, and Data Factory capabilities. Dbt, including experience developing, testing and maintaining transformation models. Infrastructure as Code approaches and tools such as Terraform. API-based ...

solve business challenges, while defining the tools, standards and best practices required to build a scalable Data Science function within the Azure Databricks Lakehouse environment. At Bibby Financial Services (BFS), we’ve been helping small and medium-sized businesses thrive and grow since 1982. Working across 9 countries … organisation. Define approaches for model development, validation, deployment and lifecycle management. Develop scalable and repeatable Data Science and MLOps processes within the Azure Databricks Lakehouse environment. Collaborate with Data Engineering, Data Architecture and Data Governance teams to ensure Data Science solutions align with wider data standards and platform capabilities. ...

transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native Lakehouse is established and mature and already supports the business end to end. The work ahead is more ambitious: applying agentic capabilities at genuine enterprise … transformation of our EMEA and APAC business, and we are hiring a Senior Data Engineer to help build what comes next. Our Databricks-native Lakehouse is established and mature and already supports the business end to end. The work ahead is more ambitious: applying agentic capabilities at genuine enterprise ...

specialist or overlay capacity, across diverse industry verticals Strong data and cloud platform acumen, including familiarity with Customer Data Platforms (CDP) or lakehouse providers Preferred Qualifications Experience selling against or working within CDP competitors Ability to lead use-case workshops and facilitate complex opportunity qualification and objection handling ...

quality, analytics-ready data across its modern data platform. This is an opportunity to take ownership of the curated data layer within a Databricks Lakehouse environment, translating complex business requirements into robust data models and transformation pipelines that support reporting, analytics, and business decision-making. Key Responsibilities: Lead … closely related data engineering role. Expert-level SQL skills and strong hands-on experience with PySpark. Proven experience working with Databricks and Lakehouse architectures. Strong understanding of dimensional modelling, including fact tables, dimension tables, star schemas and semantic layers. Experience developing curated, analytics-ready datasets for business intelligence ...

engineering teams, and elevating the broader analytics community through thought leadership, workshops, and reference architectures. Key job responsibilities Architect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch). Lead analytics modernisation — guide customers migrating from legacy … GenAI workloads. About the team We’re the AWS Analytics Specialist Solutions Architecture team — a group of data professionals deeply passionate about query performance, lakehouse design, and helping customers turn data into decisions. We work across the full AWS analytics portfolio, partnering with service teams to shape product direction ...

platform strategies Identify, manage, and mitigate architecture risks, exceptions, and technical dependencies raised through governance processes Enterprise & Solution Architecture Provide architecture assurance for Databricks Lakehouse implementations, including data ingestion, medallion architecture, Delta Lake, Unity Catalog, and compute strategies Validate integration patterns across Databricks, cloud platforms, enterprise applications, and data … with practical delivery requirements Exceptional stakeholder engagement and influencing skills across technical and business audiences Technical Skills Strong hands-on knowledge of Databricks including Lakehouse Architecture, Delta Lake, Unity Catalog, and platform governance Experience with cloud platforms supporting Databricks environments, including AWS and/or Azure Solid understanding ...

PySpark/Spark: you must demonstrate live coding, debugging, and solution‐building skills Solid grounding in distributed data systems architecture: scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation … agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits ...

Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep ...