101 to 125 of 260 Lakehouse Jobs in the UK

Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse PlatformStrong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practicesExperience building and optimizing Extract, Transform, Load and Extract, Load, Transform … Associate certification or higher preferredDatabricks Generative AI Engineer Associate certification preferredResponsibilitiesDesign, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologiesBuild, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta ...

Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and implementing solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract … field Databricks Data Engineer Associate certification or higher preferred Responsibilities Design, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse Platform. Design and implement scalable data and analytics solutions leveraging Databricks technologies Build, maintain, and optimize data pipelines using Apache Spark, SQL, Python ...

experience Experience working with Azure-based data platforms Experience with Databricks or similar modern data platforms Good understanding of data warehouse, data lake or lakehouse architectures If you are looking for a new challenge and want to help shape data solutions across a large-scale cloud data platform, please ...

architecture and analytics ecosystems. Strong stakeholder management and architecture governance experience. Desirable Experience Experience supporting Microsoft Dynamics 365 (D365) transformation programmes. Experience with Databricks, Lakehouse architectures and modern cloud data platforms. #DataArchitect #MDM #MasterDataManagement #Databricks #D365 #DataGovernance #EnterpriseArchitecture #OutsideIR35 #ContractJobs #DigitalTransformation Reasonable Adjustments: Respect and equality are core values ...

another regulated infrastructure sector Working knowledge of where and how programme data is stored and moved, for example cloud data platforms, warehouses or lakehouse architectures Relevant certification in a reporting or data platform Comfortable using AI tools to accelerate development, whether that's generating code, building dashboard front ends ...

into things that ship- Lead engineering teams through implementation- Shape long-term architectural strategy and capability**The environment**AWS, Azure, GCP · Databricks, Snowflake · lake, lakehouse and modern warehouse patterns · distributed processing · DevOps, IaC, secure deployment · governance, access control, analytics enablement**What we need**- Active DV clearance- Track record delivering ...

delivered * Lead and guide engineering teams through implementation * Shape longer-term data architecture and platform strategy **The environment** AWS, Azure, GCP · Databricks, Snowflake · Lake, Lakehouse and modern warehouse architectures · Distributed processing · DevOps, IaC and secure deployment · Governance, access control and analytics **What we're looking for** * Active DV clearance ...

experience establishing or significantly maturing a data governance capability, with examples you can walk through. Solid grasp of data contracts, data lakes and modern lakehouse governance. Enough technical understanding to hold your own with data engineers, including working SQL familiarity. Confidence operating as the enforcement and escalation point ...

accelerators, and background IP to support go‐to‐market activities. Lead development of intelligent data platform projects: integrate data from multiple systems, transform through lakehouse architectures, and make data available for reporting, AI, and conversational analytics. Maintain awareness of channels to market and the ability to work within ...

operating our AWS-based data platform using infrastructure as code Creating and managing CI/CD pipelines to enable safe, controlled deployments Supporting modern Lakehouse architecture, ingestion, processing and data serving layers Embedding security, governance and compliance controls across the platform Driving platform observability, monitoring, and performance optimisation Owning ...

implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across … Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise ...

lead the delivery of a modern enterprise data platform for a leading financial services organisation. The role will take technical ownership of Databricks lakehouse solutions, covering ingestion through to curated serving layers. Responsibilities will include implementing Medallion Architecture, Unity Catalog, Declarative Pipelines and scalable Databricks-native ingestion patterns while ...

Databricks experience delivering production solutions • Active/current Databricks certification - Data Engineer, Machine Learning or Generative AI • Strong experience designing and implementing Databricks Lakehouse architectures • Hands-on implementation of Medallion Architecture - Bronze, Silver and Gold layers • Experience with Unity Catalog, including governance, access control, lineage and secure data sharing ...

essential. We're equally interested in engineers who have worked with technologies such as Azure Databricks, Synapse, Data Lake, data pipelines or lakehouse architectures and want to develop further into Fabric. Exposure to Entra ID, Microsoft 365, Defender, Purview or Power Platform would also be useful. Why consider ...

ability to guide peers on safe and effective usage within team practices. Preferred Qualifications, Capabilities, and Skills: Experience building data products on Databricks using lakehouse patterns, including Delta Lake and medallion architecture Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined data ...

database and data modelling skills Experience with agentic AI coding tools (Claude Code, Copilot Agent Mode, Devin) and spec-driven development Big data/Lakehouse (Snowflake), ETL pipelines (Spark, Glue), or event streaming (Kafka) Interest in investment banking or financial instruments ABOUT GOLDMAN SACHS At Goldman Sachs, we commit ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive ...

democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache SparkTM, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive ...

modelling and curation for large-scale datasets Preferred Qualifications Knowledge or interestin investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs ...

iO Associates is seeking two Data Engineers for a 6-month contract with London hybrid working. You will design scalable data pipelines for ML workloads and contribute to modern cloud data platform initiatives. The role ...

Ripple is seeking a Staff Software Engineer to drive the Caspian Data Platform, Ripple's centralized lakehouse powering analytics and data-driven operations across the business. You will own architecture for ingestion, transformation, governance, and data quality, stay hands-on, and set engineering patterns for Databricks pipelines. ...

seeking a Senior Principal Data Architect for a focused six-month engagement to design an AI-ready data foundation. You will define the data lakehouse on AWS, establish a versioned feature store, and set governance, tenancy, and security patterns so scientists and ML models can work with clean, governed ...

conduct and business practices, and escalating, managing and reporting control issues with transparency.Skills & ExperienceEssentialProven in-depth commercial experience in the following key areas:Databricks – Lakehouse architecture, Spark, Delta Lake, workflows and performance tuning.Apache Spark & Scala – High-performance distributed data processing and optimisation.Cloud Data Engineering (AWS) – Cloud-native data platforms ...

regulated, security-conscious environments. This position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms – and who values clarity, governance and technical rigour. Candidates must be eligible for SC clearance (existing … data patterns, including:Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures.Event-driven and streaming architectures.Data Mesh and/or Data Fabric principles (applied pragmatically, not theoretically).Data product-oriented design approaches.You understand where traditional ...

strategy frameworks including maturity models, operating model design, data product thinking, and governance Knowledge of modern data and AI platforms including cloud-native analytics, lakehouse, ML platforms, and GenAI tooling Experience leading or contributing to large-scale professional services or consulting engagements end-to-end Understanding of organisational change ...