10 of 10 Permanent Lakehouse Jobs in Manchester

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 ...

patterns, technical standards and development work packages Experience designing and delivering scalable, secure and supportable data products or cloud data services Strong understanding of lakehouse architecture, medallion patterns, data ingestion, transformation, orchestration and data publication Experience supporting federated or distributed delivery teams through technical guidance, design review, enablement ...

similar Data visualisation Infrastructure as Code awareness, Terraform or similar Stakeholder management Nice to have: Real-time and event-driven data platform experience Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking ...

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 ...

teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks for AI-authored code. Familiarity with compensation ...

test design, or benchmarking agent workflows. Functional programming in C# (LanguageExt - Either/Option patterns). CDC/event-driven ingestion (Debezium, Kafka) or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Familiarity with compensation, HR, or pay transparency domains. Why join us? Your career, your ...

looking for a Senior Databricks Consultant to join its delivery team. This is an opportunity to work on modern cloud data platforms and Databricks Lakehouse programmes, helping enterprise clients design, build and optimise scalable data engineering solutions. You’ll work closely with experienced data architects, engineers and client stakeholders … Design, develop and maintain data pipelines and data engineering solutions using Databrick sBuild scalable data processing solutions using PySpark and SQL Work across Databricks Lakehouse environments, supporting implementation, optimisation and ongoing improvement Develop and optimise batch and data processing workflows Contribute to technical solution design and data platform architecture ...

infrastructure and application deployments Automate cloud provisioning, patching, and infrastructure lifecycle management Deploy and manage Databricks workspaces, clusters, and networking as part of modern lakehouse architectures Implement monitoring and observability using OpenTelemetry or similar tooling Produce clear technical documentation, runbooks, and operational playbooks to support long-term platform reliability … Code Experience implementing CI/CD pipelines and cloud automation Experience deploying and managing Databricks infrastructure A solid understanding of modern data platforms, lakehouse architectures, and data warehousing concepts Nice to Have AWS Associate certification or above Azure Associate certification or above HashiCorp Terraform Associate certification Python scripting ...

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 ...

insurance firm, and one of the leading insurers in the Lloyd's of London market. Their data strategy is built around a single enterprise Lakehouse platform on Databricks - a deliberate move away from the fragmented, ungoverned silos on legacy technology that hamper creativity and scalability across most … data architecture - defining how data is stored, integrated, secured and managed across every solution in the estate. That includes full ownership of the Databricks Lakehouse platform architecture: data modelling, storage patterns, processing and integration approaches, data sharing patterns and governance guardrails. This is a practical, delivery-focused architecture role ...