201 to 225 of 272 Lakehouse Jobs in London

USS Investment Management Limited is looking for a Senior Investment Data Analyst in London. This role involves establishing data analysis capabilities and contributing to technology and data transformation to enhance data handling across investment operations. ...

Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the ...

engagement for a telecommunications client, covering Customer, Finance and Network domains.The role will assess the current data landscape, including an existing GCP BigQuery Data Lakehouse, and help define the target architecture, technology roadmap and governance framework. Key Responsibilities Lead/support stakeholder interviews and workshops across business and technical … systems, integrations and data flows. Catalogue databases and data sources, identifying silos, duplication and data quality issues. Assess the existing GCP/BigQuery Data Lakehouse, architecture, scalability and integration patterns. Evaluate data governance, ownership, metadata, lineage, MDM, security and compliance. Develop current-state assessments, architecture diagrams, data inventories ...

Architect (Databricks), Financial Services Contract: 1 month (extension likely) IR35: Outside Location: Remote The role Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to. Responsibilities Design … Databricks architecture, from ingestion through to consumption Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows Lead data modelling and lakehouse design Implement governance through Unity Catalog, including access control, lineage and audit Set standards for data quality, performance and cost Review engineering designs ...

Architect (Databricks), Financial Services Contract: 1 month (extension likely) | IR35: Outside | Location: Remote The role Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to. Responsibilities Design … Databricks architecture, from ingestion through to consumption Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows Lead data modelling and lakehouse design Implement governance through Unity Catalog, including access control, lineage and audit Set standards for data quality, performance and cost Review engineering designs ...

specs carefully before applying. Contract: 1 month (extension likely) | IR35: Outside | Location: Remote The role Our financial services client is building out its Databricks Lakehouse platform and needs a hands-on Data Architect to define the target architecture and set the standards the delivery team builds to. Responsibilities Design … Databricks architecture, from ingestion through to consumption Define batch and streaming patterns using Delta Lake, Delta Live Tables and Workflows Lead data modelling and lakehouse design Implement governance through Unity Catalog, including access control, lineage and audit Set standards for data quality, performance and cost Review engineering designs ...

building repeatable and resilient data processing pipelines for these use cases. What You'll Do Own the reliability and performance of our data lakehouse as it scales, taking the lead on the operational problems that don't have an obvious answer Build the infrastructure and business logic behind … make them good enough that teams choose them Lead the data side of modernising our legacy monolithic SQL Server database: extracting into the lakehouse and parallel data stores, introducing retention policies, and migrating to modern SQL frameworks Write and optimise ETL processes and contribute to data modelling for both ...

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 ...

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 ...

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 ...

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 ...

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 ...